magnet:?xt=urn:btih:A25A2BEA3BFCED4FD1E0726E1C0B38132A48AD52
Volume 01/#1/00 - Editorial. On Machine Learning.pdf 339.5 kBVolume 01/#1/01 - Chunking in Soar. The Anatomy of a General Learning Mechanism.pdf 2.4 MBVolume 01/#1/02 - Explanation-Based Generalization. A Unifying View.pdf 2.2 MBVolume 01/#1/03 - Induction of Decision Trees.pdf 1.4 MBVolume 01/#1/04 - A Theory of Historical Discovery. The Construction of Componential Models.pdf 1.6 MBVolume 01/#2/00 - Editorial. The Terminology of Machine Learning.pdf 193.7 kBVolume 01/#2/01 - Explanation-Based Learning. An Alternative View.pdf 1.8 MBVolume 01/#2/02 - A General Framework for Induction and a Study of Selective Induction.pdf 2.7 MBVolume 01/#2/03 - News and Notes.pdf 874.7 kBVolume 01/#3/00 - Editorial. Human and Machine Learning.pdf 265.9 kBVolume 01/#3/01 - Experimental Goal Regression. A Method for Learning Problem-Solving Heuristics.pdf 1.4 MBVolume 01/#3/02 - Learning at the Knowledge Level.pdf 1.4 MBVolume 01/#3/03 - Incremental Learning from Noisy Data.pdf 1.8 MBVolume 01/#3/04 - News and Notes.pdf 182.5 kBVolume 01/#4/00 - Editorial. Machine Learning and Discovery.pdf 200.8 kBVolume 01/#4/01 - Integrating Quantitative and Qualitative Discovery. The ABACUS System.pdf 1.7 MBVolume 01/#4/02 - Determining Arguments of Invariant Functional Descriptions.pdf 973.5 kBVolume 01/#4/03 - Chemical Discovery as Belief Revision.pdf 1.3 MBVolume 01/#4/04 - News and Notes.pdf 69.8 kBVolume 02/#1/00 - Machine Learning and Grammar Induction.pdf 207.6 kBVolume 02/#1/01- Learning Syntax by Automata Induction.pdf 1.2 MBVolume 02/#1/02 - A Version Space Approach to Learning Context-free Grammars.pdf 1.7 MBVolume 02/#1/03 - News and Notes.pdf 1.2 MBVolume 02/#2/00 - Machine learning and concept formation.pdf 184.1 kBVolume 02/#2/01 - Experiments with incremental concept formation. UNIMEM.pdf 1.4 MBVolume 02/#2/02 - Knowledge acquisition via incremental conceptual clustering.pdf 1.4 MBVolume 02/#2/03 - A review of the fourth International Workshop on Machine Learning.pdf 907.4 kBVolume 02/#2/04 - News and notes.pdf 86.4 kBVolume 02/#3/00 - Research papers in machine learning.pdf 189.3 kBVolume 02/#3/01 - Classifier systems and the animat problem.pdf 1.3 MBVolume 02/#3/02 - Learning decision lists.pdf 736.1 kBVolume 02/#3/03 - Theory change via view application in instructionless learning.pdf 1.5 MBVolume 02/#3/04 - News and notes.pdf 77.9 kBVolume 02/#3/05 - Announcement.pdf 30.0 kBVolume 02/#4/00 - New theoretical directions in machine learning.pdf 155.9 kBVolume 02/#4/01 - Learning quickly when irrelevant attributes abound. A new linear-threshold algorithm.pdf 1.4 MBVolume 02/#4/02 - Queries and concept learning.pdf 1.0 MBVolume 02/#4/03 - Learning from noisy examples.pdf 1.1 MBVolume 02/#4/04 - Criteria for polynomial-time (conceptual) clustering.pdf 1.1 MBVolume 02/#4/05 - News and notes.pdf 98.5 kBVolume 02/#4/06 - Announcing a new journal.pdf 65.7 kBVolume 03/#1/00 - Machine learning as an experimental science.pdf 207.0 kBVolume 03/#1/01 - Learning to predict by the methods of temporal differences.pdf 1.6 MBVolume 03/#1/02 - Learning by failing to explain. Using partial explanations to learn in incomplete or intractable domains.pdf 1.4 MBVolume 03/#1/03 - A review of machine learning at AAAI-87.pdf 667.1 kBVolume 03/#2-3/00 - Genetic algorithms and Machine Learning.pdf 231.9 kBVolume 03/#2-3/01 - Genetic algorithms in noisy environments.pdf 960.4 kBVolume 03/#2-3/02 - Learning with genetic algorithms. An overview.pdf 854.0 kBVolume 03/#2-3/03 - A tale of two classifier systems.pdf 932.0 kBVolume 03/#2-3/04 - Classifier systems that learn internal world models.pdf 1.4 MBVolume 03/#2-3/05 - Learning and programming in classifier systems.pdf 1.4 MBVolume 03/#2-3/06 - Credit assignment in rule discovery systems based on genetic algorithms.pdf 914.3 kBVolume 03/#2-3/07 - News and notes.pdf 109.9 kBVolume 03/#4/00 - Toward a unified science of machine learning.pdf 388.5 kBVolume 03/#4/01 - The CN2 induction algorithm.pdf 1.1 MBVolume 03/#4/02 - A heuristic approach to the discovery of macro-operators.pdf 1.4 MBVolume 03/#4/03 - An empirical comparison of selection measures for decision-tree induction.pdf 1.0 MBVolume 03/#4/04 - Conceptual clustering, categorization, and polymorphy.pdf 1.4 MBVolume 03/#4/05 - News and notes.pdf 147.7 kBVolume 03/#4/06 - Erratum.pdf 26.1 kBVolume 04/#1/00 - Editorial.pdf 102.6 kBVolume 04/#1/01 - Learning conjunctive concepts in structural domains.pdf 1.5 MBVolume 04/#1/02 - Semi-supervised learning.pdf 1.0 MBVolume 04/#1/03 - On learning sets and functions.pdf 1.3 MBVolume 04/#1/04 - Efficient specialization of relational concepts.pdf 352.3 kBVolume 04/#1/05 - News and notes.pdf 123.0 kBVolume 04/#2/00 - Editorial.pdf 123.8 kBVolume 04/#2/01 - LT Revisited. Explanation-Based Learning and the Logic of Principia Mathematica.pdf 2.6 MBVolume 04/#2/02 - Incremental Induction of Decision Trees.pdf 1.2 MBVolume 04/#2/03 - A Study of Explanation-Based Methods for Inductive Learning.pdf 1.9 MBVolume 04/#2/04 - An Empirical Comparison of Pruning Methods for Decision Tree Induction.pdf 813.4 kBVolume 04/#3-4/00 - Introduction. A sampler in knowledge acquisition for the machine learning community.pdf 131.8 kBVolume 04/#3-4/01 - Can machine learning offer anything to expert systems.pdf 192.6 kBVolume 04/#3-4/02 - When will machines learn.pdf 138.2 kBVolume 04/#3-4/03 - Supporting start-to-finish development of knowledge bases.pdf 1.1 MBVolume 04/#3-4/04 - The knowledge level reinterpreted. Modeling how systems interact.pdf 357.2 kBVolume 04/#3-4/05 - Automated knowledge acquisition for strategic knowledge.pdf 2.1 MBVolume 04/#3-4/06 - The world would be a better place if non-programmers could program.pdf 94.3 kBVolume 04/#3-4/07 - Task-structures, knowledge acquisition and learning.pdf 304.7 kBVolume 04/#3-4/08 - Automated support for building and extending expert models.pdf 1.5 MBVolume 04/#3-4/09 - Knowledge acquisition for knowledge-based systems. Notes on the state-of-the-art.pdf 805.6 kBVolume 05/#1/00 - Editorial Exploratory research in machine learning.pdf 232.7 kBVolume 05/#1/01 - Extending domain theories. Two case studies in student modeling.pdf 1.1 MBVolume 05/#1/02 - Acquiring recursive and iterative concepts with explanation-based learning.pdf 1.5 MBVolume 05/#1/03 - Boolean feature discovery in empirical learning.pdf 1.1 MBVolume 05/#1/04 - A necessary condition for learning from positive examples.pdf 434.8 kBVolume 05/#1/05 - Announcements.pdf 36.6 kBVolume 05/#2/00 - Introduction. Special issue on computational learning theory.pdf 223.9 kBVolume 05/#2/01 - Negative results for equivalence queries.pdf 1.1 MBVolume 05/#2/02 - Polynomial time learnability of simple deterministic languages.pdf 564.3 kBVolume 05/#2/03 - Learning nested differences of intersection-closed concept classes.pdf 1.4 MBVolume 05/#2/04 - The strength of weak learnability.pdf 1.3 MBVolume 05/#2/05 - Errata.pdf 18.2 kBVolume 05/#3/00 - Editorial advice to Machine Learning authors.pdf 202.9 kBVolume 05/#3/01 - Learning logical definitions from relations.pdf 1.1 MBVolume 05/#3/02 - Empirical learning as a function of concept character.pdf 1.4 MBVolume 05/#3/03 - The problem of expensive chunks and its solution by restricting expressiveness.pdf 2.3 MBVolume 05/#4/00 - Introduction.pdf 139.1 kBVolume 05/#4/01 - Learning sequential decision rules using simulation models and competition.pdf 1.1 MBVolume 05/#4/02 - CSM. A computational model of cumulative learning.pdf 1.1 MBVolume 05/#4/03 - Probability matching, the magnitude of reinforcement, and classifier system bidding.pdf 774.7 kBVolume 05/#4/04 - Empirical learning using rule threshold optimization for detection of events in synthetic images.pdf 1.0 MBVolume 05/#4/05 - Call for papers for ICGA-91.pdf 46.3 kBVolume 06/#1/00 - Editorial.pdf 65.0 kBVolume 06/#1/01 - Rigel. An Inductive Learning System.pdf 1.8 MBVolume 06/#1/02 - Instance-Based Learning Algorithms.pdf 1.5 MBVolume 06/#1/03 - Information-Based Evaluation Criterion for Classifier's Performance.pdf 646.8 kBVolume 06/#1/04 - A Distance-Based Attribute Selection Measure for Decision Tree Induction.pdf 381.3 kBVolume 06/#1/05 - Improved Estimates for the Accuracy of Small Disjuncts.pdf 286.3 kBVolume 06/#1/06 - Book Review. Exemplar-Based Knowledge Acquisition, by Ray Bareiss. Academic Press, 1989.pdf 248.0 kBVolume 06/#1/07 - A Reply To Reich's Book Review of Exemplar-Based Knowledge Acquisition.pdf 99.3 kBVolume 06/#2/00 - Symbolic and neural learning algorithms. An experimental comparison.pdf 1.5 MBVolume 06/#2/01 - A PAC algorithm for making feature maps.pdf 720.8 kBVolume 06/#2/02 - Learning search control knowledge. An explanation-based approach.pdf 428.4 kBVolume 06/#2/02 - Letter recognition using Holland-style adaptive classifiers.pdf 1.0 MBVolume 06/#2/03 - A critical look at experimental evaluations of EBL.pdf 606.8 kBVolume 06/#2/04 - A reply to Zito-Wolf's book review ofLearning search control knowledge. An explanation-based approach.pdf 100.4 kBVolume 06/#3/00 - Complexity Results on Learning by Neural Nets.pdf 753.2 kBVolume 06/#3/01 - The Use of Background Knowledge in Decision Tree Induction.pdf 686.2 kBVolume 06/#3/02 - A Nearest Hyperrectangle Learning Method.pdf 1.3 MBVolume 06/#3/03 - Conflict Resolution as Discovery in Particle Physics.pdf 1.5 MBVolume 07/#1/00 - Editorial.pdf 42.3 kBVolume 07/#1/01 - An incremental deductive strategy for controlling constructive induction in learning from examples.pdf 1.9 MBVolume 07/#1/02 - Learning to perceive and act by trial and error.pdf 1.7 MBVolume 07/#1/03 - Learning to predict non-deterministically generated strings.pdf 630.3 kBVolume 07/#2-3/00 - Introduction.pdf 169.9 kBVolume 07/#2-3/01 - Learning Automata from Ordered Examples.pdf 1.9 MBVolume 07/#2-3/02 - SLUG. A Connectionist Architecture for Inferring the Structure of Finite-State Environments.pdf 1.8 MBVolume 07/#2-3/03 - Graded State Machines. The Representation of Temporal Contingencies in Simple Recurrent Networks.pdf 2.3 MBVolume 07/#2-3/04 - Distributed Representations, Simple Recurrent Networks, And Grammatical Structure.pdf 1.8 MBVolume 07/#2-3/05 - The Induction of Dynamical Recognizers.pdf 2.4 MBVolume 08/#1/00 - Learning Two-Tiered Descriptions of Flexible Concepts. The POSEIDON System.pdf 2.1 MBVolume 08/#1/01 - Implementing Valiant's Learnability Theory Using Random Sets.pdf 1.4 MBVolume 08/#1/02 - A Further Comparison of Splitting Rules for Decision-Tree Induction.pdf 507.9 kBVolume 08/#1/03 - On the Handling of Continuous-Valued Attributes in Decision Tree Generation.pdf 840.7 kBVolume 08/#2/00 - Editorial.pdf 50.5 kBVolume 08/#2/01 - Interactive concept-learning and constructive induction by analogy.pdf 1.9 MBVolume 08/#2/02 - Learning probabilistic automata and Markov chains via queries.pdf 705.7 kBVolume 08/#2/03 - Abductive explanation-based learning. A solution to the multiple inconsistent explanation problem.pdf 2.4 MBVolume 08/#2/04 - Announcement.pdf 34.6 kBVolume 08/#3-4/00 - Introduction. The Challenge of Reinforcement Learning.pdf 162.8 kBVolume 08/#3-4/01 - Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning.pdf 1.2 MBVolume 08/#3-4/02 - Practical Issues in Temporal Difference Learning.pdf 1.6 MBVolume 08/#3-4/03 - Technical Note. Q-Learning.pdf 528.6 kBVolume 08/#3-4/04 - Self-Improving Reactive Agents Based on Reinforcement Learning, Planning and Teaching.pdf 1.4 MBVolume 08/#3-4/05 - Transfer of Learning by Composing Solutions of Elemental Sequential Tasks.pdf 952.3 kBVolume 08/#3-4/06 - The Convergence of TD(lambda) for General lambda.pdf 765.2 kBVolume 08/#3-4/07 - A Reinforcement Connectionist Approach to Robot Path Finding in Non-Maze-Like Environments.pdf 2.3 MBVolume 09/#1/00 - Machine Learning. A Maturing Field.pdf 172.0 kBVolume 09/#1/01 - Dynamic Parameter Encoding for Genetic Algorithms.pdf 722.2 kBVolume 09/#1/02 - Higher-Order and Modal Logic as a Framework for Explanation-Based Generalization.pdf 1.5 MBVolume 09/#1/03 - The Utility of Knowledge in Inductive Learning.pdf 1.7 MBVolume 09/#1/04 - Book Review. Neural Network Design and the Complexity of Learning, by J. Stephen Judd. Cambridge, MA. MIT Press, 1990.pdf 197.7 kBVolume 09/#1/05 - A Reply to Honavar's Book Review of Neural Network Design and the Complexity of Learning.pdf 67.9 kBVolume 09/#2-3/00 - Introduction.pdf 200.1 kBVolume 09/#2-3/01 - Lower Bound Methods and Separation Results for On-Line Learning Models.pdf 1.8 MBVolume 09/#2-3/02 - Learning Conjunctions of Horn Clauses.pdf 826.8 kBVolume 09/#2-3/03 - A Learning Criterion for Stochastic Rules.pdf 1.7 MBVolume 09/#2-3/04 - On the Computational Complexity of Approximating Distributions by Probabilistic Automata.pdf 2.0 MBVolume 09/#2-3/05 - A Universal Method of Scientific Inquiry.pdf 477.2 kBVolume 09/#4/00 - Explorations of an Incremental, Bayesian Algorithm for Categorization.pdf 1.7 MBVolume 09/#4/01 - A Bayesian Method for the Induction of Probabilistic Networks from Data.pdf 1.8 MBVolume 09/#4/02 - A Framework for Average Case Analysis of Conjunctive Learning Algorithms.pdf 1.3 MBVolume 09/#4/03 - Learning Boolean Functions in an Infinite Attribute Space.pdf 665.6 kBVolume 09/#4/04 - Technical Note. First Nearest Neighbor Classification on Frey and Slate's Letter Recognition Problem.pdf 104.1 kBVolume 10/#1/00 - Editorial.pdf 42.7 kBVolume 10/#1/01 - Synthesis of UNIX Programs Using Derivational Analogy.pdf 2.8 MBVolume 10/#1/02 - A Weighted Nearest Neighbor Algorithm for Learning with Symbolic Features.pdf 1.2 MBVolume 10/#1/03 - Induction Over the Unexplained. Using Overly-General Domain Theories to Aid Concept Learning.pdf 2.0 MBVolume 10/#2/00 - Information filtering. Selection mechanisms in learning systems.pdf 1.9 MBVolume 10/#2/01 - Overfitting avoidance as bias.pdf 1.4 MBVolume 10/#2/02 - Creating a memory of causal relationships, by Michael Pazzani, Hillsdale, NJ. Lawrence Erlbaum, 1990.pdf 278.1 kBVolume 10/#2/03 - A reply to Cohen's book review of Creating a Memory of Causal Relationships.pdf 310.8 kBVolume 10/#3/00 - Introduction.pdf 279.5 kBVolume 10/#3/01 - Indexing, Elaboration and Refinement. Incremental Learning of Explanatory Cases.pdf 2.9 MBVolume 10/#3/02 - Derivational Analogy in PRODIGY. Automating Case Acquisition, Storage, and Utilization.pdf 1.7 MBVolume 10/#3/03 - Opportunism and Learning.pdf 1.8 MBVolume 10/#3/04 - Integrating Feature Extraction and Memory Search.pdf 1.6 MBVolume 10/#3/05 - Wastewater Treatment Systems from Case–Based Reasoning.pdf 945.5 kBVolume 11/#1/00 - Coding Decision Trees.pdf 686.1 kBVolume 11/#1/01 - Active Learning Using Arbitrary Binary Valued Queries.pdf 682.8 kBVolume 11/#1/02 - Noise-Tolerant Occam Algorithms and Their Applications to Learning Decision Trees.pdf 1.0 MBVolume 11/#1/03 - Very Simple Classification Rules Perform Well on Most Commonly Used Datasets.pdf 1.3 MBVolume 11/#1/04 - An Analysis of the WITT Algorithm.pdf 480.8 kBVolume 11/#2-3/00 - Introduction.pdf 79.6 kBVolume 11/#2-3/01 - Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning.pdf 2.3 MBVolume 11/#2-3/03 - Multistrategy Learning and Theory Revision.pdf 1.1 MBVolume 11/#2-3/04 - Learning Causal Patterns. Making a Transition from Data-Driven to Theory-Driven Learning.pdf 1.1 MBVolume 11/#2-3/05 - Using Knowledge-Based Neural Networks to Improve Algorithms. Refining the Chou–Fasman Algorithm for Protein Folding.pdf 1.4 MBVolume 11/#2-3/06 - Balanced Cooperative Modeling.pdf 1.5 MBVolume 11/#2-3/07 - Plausible Justification Trees. A Framework for Deep and Dynamic Integration of Learning Strategies.pdf 1.1 MBVolume 12/#1-3/00 - Introduction. Cognitive autonomy in machine discovery.pdf 545.2 kBVolume 12/#1-3/01 - An integrated framework for empirical discovery.pdf 1.6 MBVolume 12/#1-3/02 - Experience selection and problem choice in an exploratory learning system.pdf 881.3 kBVolume 12/#1-3/03 - Discovery by Minimal Length Encoding. A case study in molecular evolution.pdf 874.6 kBVolume 12/#1-3/04 - Design methods for scientific hypothesis formation and their application to molecular biology.pdf 1.4 MBVolume 12/#1-3/05 - Machine discovery of effective admissible heuristics.pdf 1.2 MBVolume 12/#1-3/06 - Discovery as autonomous learning from the environment.pdf 1.1 MBVolume 12/#1-3/07 - Bivariate scientific function finding in a sampled, real-data testbed.pdf 765.4 kBVolume 12/#1-3/08 - The design of discrimination experiments.pdf 908.2 kBVolume 12/#1-3/09 - Publisher's note.pdf 23.9 kBVolume 13/#1/00 - Cost-Sensitive Learning of Classification Knowledge and Its Applications in Robotics.pdf 1.6 MBVolume 13/#1/01 - Explanation-Based Learning for Diagnosis.pdf 1.5 MBVolume 13/#1/02 - Extracting Refined Rules from Knowledge-Based Neural Networks.pdf 1.7 MBVolume 13/#1/03 - Prioritized Sweeping. Reinforcement Learning with Less Data and Less Time.pdf 2.0 MBVolume 13/#1/04 - Technical Note. Selecting a Classification Method by Cross-Validation.pdf 472.9 kBVolume 13/#1/05 - Book Review Machine Learning. A Theoretical Approach by Balas K. Natarajan. Morgan Kaufmann Publishers, Inc., 1991.pdf 283.8 kBVolume 13/#1/06 - A Reply to Hellerstein's Book Review of Machine Learning. A Theoretical Approach.pdf 84.5 kBVolume 13/#2-3/00 - Introduction.pdf 225.4 kBVolume 13/#2-3/01 - Using Genetic Algorithms for Concept Learning.pdf 1.3 MBVolume 13/#2-3/02 - A Knowledge-Intensive Genetic Algorithm for Supervised Learning.pdf 2.6 MBVolume 13/#2-3/03 - Competition-Based Induction of Decision Models from Examples.pdf 1.5 MBVolume 13/#2-3/04 - Genetic Reinforcement Learning for Neurocontrol Problems.pdf 1.8 MBVolume 13/#2-3/05 - What Makes a Problem Hard for a Genetic Algorithm Some Anomalous Results and Their Explanation.pdf 2.1 MBVolume 14/#1/00 - Foreword.pdf 43.3 kBVolume 14/#1/01 - Randomly Fallible Teachers. Learning Monotone DNF with an Incomplete Membership Oracle.pdf 883.0 kBVolume 14/#1/02 - Tracking Drifting Concepts By Minimizing Disagreements.pdf 798.7 kBVolume 14/#1/03 - Learning Probabilistic Read-once Formulas on Product Distributions.pdf 1.4 MBVolume 14/#1/04 - Bounds on the Sample Complexity of Bayesian Learning Using Information Theory and the VC Dimension.pdf 1.3 MBVolume 14/#1/05 - Approximation and Estimation Bounds for Artificial Neural Networks.pdf 881.7 kBVolume 14/#2/00 - Guest Editorial.pdf 109.1 kBVolume 14/#2/01 - Hypothesis-Driven Constructive Induction in AQ17-HCI. A Method and Experiments.pdf 2.8 MBVolume 14/#2/02 - Concept Formation During Interactive Theory Revision.pdf 1.3 MBVolume 14/#2/03 - A Polynomial Approach to the Constructive Induction of Structural Knowledge.pdf 1.2 MBVolume 14/#2/04 - Flattening and Saturation. Two Representation Changes for Generalization.pdf 633.2 kBVolume 14/#2/05 - Explicit Representation of Concept Negation.pdf 547.3 kBVolume 14/#3/00 - Algorithms and lower bounds for on-line learning of geometrical concepts.pdf 800.6 kBVolume 14/#3/01 - The power of self-directed learning.pdf 1.1 MBVolume 14/#3/02 - TD(lambda) converges with probability 1.pdf 304.3 kBVolume 14/#3/03 - Introduction to the abstracts of the invited talks presented at ML92 conference in Aberdeen, 1–3 July 1992.pdf 45.1 kBVolume 14/#3/04 - Machine learning and qualitative reasoning.pdf 381.0 kBVolume 14/#3/05 - Children, adults, and machines as discovery systems.pdf 350.1 kBVolume 14/#3/06 - Combining symbolic and neural learning.pdf 532.1 kBVolume 14/#3/07 - Statistical methods for analyzing speedup learning experiments.pdf 801.7 kBVolume 15/#1/00 - Incremental Abductive EBL.pdf 1.1 MBVolume 15/#1/01 - The Importance of Attribute Selection Measures in Decision Tree Induction.pdf 811.3 kBVolume 15/#1/02 - Discrete Sequence Prediction and Its Applications.pdf 1.4 MBVolume 15/#1/03 - On-Line Learning from Search Failures.pdf 2.5 MBVolume 15/#2/00 - Introduction. Structured Connectionist Systems.pdf 137.3 kBVolume 15/#2/01 - Neural Network-Based Vision for Precise Control of a Walking Robot.pdf 1.2 MBVolume 15/#2/02 - Using Neural Networks to Modularize Software.pdf 1.5 MBVolume 15/#2/03 - Higher-Order Neural Networks Applied to 2D and 3D Object Recognition.pdf 2.1 MBVolume 15/#2/04 - Improving Generalization with Active Learning.pdf 1.2 MBVolume 15/#3/00 - Trading accuracy for simplicity in decision trees.pdf 1.2 MBVolume 15/#3/01 - Toward an ideal trainer.pdf 1.4 MBVolume 15/#3/02 - Associative reinforcement learning. Functions in k-DNF.pdf 854.1 kBVolume 15/#3/03 - Associative reinforcement learning. A generate and test algorithm.pdf 883.8 kBVolume 15/#3/04 - Bias in information-based measures in decision tree induction.pdf 374.4 kBVolume 16/#1-2/00 - Editorial. New Editorial Board Members.pdf 64.4 kBVolume 16/#1-2/01 - Guest Editor's Introduction.pdf 122.8 kBVolume 16/#1-2/02 - Acquisition of Children's Addition Strategies. A Model of Impasse-Free, Knowledge-Level Learning.pdf 1.4 MBVolume 16/#1-2/03 - Case-Based Learning. Predictive Features in Indexing.pdf 1.1 MBVolume 16/#1-2/04 - Modeling Cognitive Development on Balance Scale Phenomena.pdf 1.8 MBVolume 16/#1-2/05 - Simulating the Child's Acquisition of the Lexicon and Syntax - Experiences With Babel.pdf 1.8 MBVolume 16/#1-2/06 - Acquiring and Combining Overlapping Concepts.pdf 1.8 MBVolume 16/#3/00 - Learning nonoverlapping perceptron networks from examples and membership queries.pdf 1.1 MBVolume 16/#3/01 - Asynchronous stochastic approximation and Q-learning.pdf 702.1 kBVolume 16/#3/02 - Complexity-based induction.pdf 902.4 kBVolume 16/#3/03 - An upper bound on the loss from approximate optimal-value functions.pdf 267.7 kBVolume 16/#3/04 - C4.5. Programs for Machine Learning by J. Ross Quinlan. Morgan Kaufmann Publishers, Inc., 1993.pdf 312.6 kBVolume 17/#1/00 - Generalizing Version Spaces.pdf 2.0 MBVolume 17/#1/01 - Algebraic Reasoning about Reactions. Discovery of Conserved Properties in Particle Physics.pdf 954.2 kBVolume 17/#1/02 - Quantifying Prior Determination Knowledge Using the PAC Learning Model.pdf 1.6 MBVolume 17/#2-3/00 - Guest editor's introduction.pdf 202.8 kBVolume 17/#2-3/01 - Toward efficient agnostic learning.pdf 1.3 MBVolume 17/#2-3/02 - A theory for memory-based learning.pdf 918.9 kBVolume 17/#2-3/03 - The learnability of description logics with equality constraints.pdf 1.4 MBVolume 17/#2-3/04 - On-line learning of rectangles and unions of rectangles.pdf 1.0 MBVolume 18/#1/00 - A Branch and Bound Incremental Conceptual Clusterer.pdf 945.0 kBVolume 18/#1/01 - Probably Almost Discriminative Learning.pdf 1.2 MBVolume 18/#1/02 - A Comparison of ID3 and Backpropagation for English Text-To-Speech Mapping.pdf 1.2 MBVolume 18/#1/03 - Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning.pdf 1.5 MBVolume 18/#1/04 - Classification Accuracy. Machine Learning vs. Explicit Knowledge Acquisition.pdf 299.6 kBVolume 18/#1/05 - Book Review. Neural Network Perception For Mobile Robot Guidanceby Dean A. Pomerleau. Kluwer Academic Publishers, 1993.pdf 260.9 kBVolume 18/#1/06 - A Reply to Towell's Book Review of Neural Network Perception for Mobile Robot Guidance.pdf 86.9 kBVolume 18/#2-3/00 - Guest Editor's Introduction.pdf 179.1 kBVolume 18/#2-3/01 - Bounding the Vapnik-Chervonenkis Dimension of Concept Classes Parameterized by Real Numbers.pdf 863.4 kBVolume 18/#2-3/02 - Learning Fallible Deterministic Finite Automata.pdf 1.6 MBVolume 18/#2-3/03 - On the Complexity of Function Learning.pdf 1.9 MBVolume 18/#2-3/04 - Piecemeal Learning of an Unknown Environment.pdf 1.9 MBVolume 18/#2-3/05 - Learning from a Population of Hypotheses.pdf 1.0 MBVolume 19/#1/00 - An Experimental Comparison of the Nearest-Neighbor and Nearest-Hyperrectangle Algorithms.pdf 1.8 MBVolume 19/#1/01 - Monotonicity Maintenance in Information-Theoretic Machine Learning Algorithms.pdf 746.0 kBVolume 19/#1/02 - Multivariate Decision Trees.pdf 1.7 MBVolume 19/#1/03 - Encouraging Experimental Results on Learning CNF.pdf 1.1 MBVolume 19/#2/00 - Automated Refinement of First-Order Horn-Clause Domain Theories.pdf 1.7 MBVolume 19/#2/01 - Comprehension Grammars Generated from Machine Learning of Natural Languages.pdf 879.9 kBVolume 19/#2/02 - On Polynomial-Time Learnability in the Limit of Strictly Deterministic Automata.pdf 1.1 MBVolume 19/#3/00 - On the Learnability of Disjunctive Normal Form Formulas.pdf 1.3 MBVolume 19/#3/01 - ALECSYS and the AutonoMouse. Learning to Control a Real Robot by Distributed Classifier Systems.pdf 2.4 MBVolume 19/#3/02 - On the Stochastic Complexity of Learning Realizable and Unrealizable Rules.pdf 961.6 kBVolume 20/#1-2/00 - Evaluation and Selection of Biases in Machine Learning.pdf 980.7 kBVolume 20/#1-2/01 - Technical Note. Bias and the Quantification of Stability.pdf 618.4 kBVolume 20/#1-2/02 - Inductive Policy. The Pragmatics of Bias Selection.pdf 1.8 MBVolume 20/#1-2/03 - Recursive Automatic Bias Selection for Classifier Construction.pdf 1.8 MBVolume 20/#1-2/04 - The Appropriateness of Predicate Invention as Bias Shift Operation in ILP.pdf 1.3 MBVolume 20/#1-2/05 - Declarative Bias for Specific-to-General ILP Systems.pdf 1.5 MBVolume 20/#1-2/06 - Shifting Vocabulary Bias in Speedup Learning.pdf 2.0 MBVolume 20/#3/00 - Learning Bayesian Networks. The Combination of Knowledge and Statistical Data.pdf 2.2 MBVolume 20/#3/01 - Learning Binary Relations Using Weighted Majority Voting.pdf 1.2 MBVolume 20/#3/02 - Support-Vector Networks.pdf 1.4 MBVolume 21/#1-2/00 - Introduction.pdf 245.3 kBVolume 21/#1-2/01 - Genetic Algorithms, Operators, and DNA Fragment Assembly.pdf 1.2 MBVolume 21/#1-2/02 - Discovering Dependencies via Algorithmic Mutual Information. A Case Study in DNA Sequence Comparisons.pdf 671.8 kBVolume 21/#1-2/03 - Unsupervised Learning of Multiple Motifs in Biopolymers Using Expectation Maximization.pdf 1.2 MBVolume 21/#1-2/04 - DEXTER. A System that Experiments with Choices of Training Data Using Expert Knowledge in the Domain of DNA Hydration.pdf 1.1 MBVolume 21/#1-2/05 - Use of Adaptive Networks to Define Highly Predictable Protein Secondary–Structure Classes.pdf 1.0 MBVolume 21/#1-2/06 - Machine Discovery of Protein Motifs.pdf 1.2 MBVolume 21/#1-2/07 - Searching for Representations to Improve Protein Sequence Fold-Class Prediction.pdf 1.3 MBVolume 21/#1-2/08 - Neural Networks for Full-Scale Protein Sequence Classification. Sequence Encoding with Singular Value Decomposition.pdf 1.0 MBVolume 21/#3/00 - The Parti-game Algorithm for Variable Resolution Reinforcement Learning in Multidimensional State-spaces.pdf 2.1 MBVolume 21/#3/01 - An Integration of Rule Induction and Exemplar-Based Learning for Graded Concepts.pdf 1.7 MBVolume 21/#3/02 - Sample Compression, Learnability, and the Vapnik-Chervonenkis Dimension.pdf 1.8 MBVolume 22/#1-3/00 - Editorial.pdf 86.3 kBVolume 22/#1-3/01 - Introduction.pdf 142.5 kBVolume 22/#1-3/02 - Efficient reinforcement learning through symbiotic evolution.pdf 1.0 MBVolume 22/#1-3/03 - Linear Least-Squares algorithms for temporal difference learning.pdf 943.7 kBVolume 22/#1-3/04 - Feature-based methods for large scale dynamic programming.pdf 1.4 MBVolume 22/#1-3/05 - On the worst-case analysis of temporal-difference learning algorithms.pdf 919.8 kBVolume 22/#1-3/06 - Reinforcement learning with replacing eligibility traces.pdf 1.2 MBVolume 22/#1-3/07 - Average reward reinforcement learning. Foundations, algorithms, and empirical results.pdf 1.6 MBVolume 22/#1-3/08 - The loss from imperfect value functions in expectation-based and minimax-based tasks.pdf 1.1 MBVolume 22/#1-3/09 - The effect of representation and knowledge on goal-directed exploration with reinforcement-learning algorithms.pdf 1.1 MBVolume 22/#1-3/10 - Creating advice-taking reinforcement learners.pdf 1.4 MBVolume 22/#1-3/11 - Incremental multi-step Q-learning.pdf 346.7 kBVolume 23/#1/00 - Representation of Finite State Automata in Recurrent Radial Basis Function Networks.pdf 851.4 kBVolume 23/#1/01 - Scaling Up Inductive Learning with Massive Parallelism.pdf 486.1 kBVolume 23/#1/02 - Classification by Feature Partitioning.pdf 691.4 kBVolume 23/#1/03 - Learning in the Presence of Concept Drift and Hidden Contexts.pdf 998.2 kBVolume 23/#1/04 - Review of Inductive Logic Programming. Techniques and Applications by Nada Lavrac, Saso Dzeroski.pdf 201.7 kBVolume 23/#1/05 - A Reply to Pazzani's Book Review of Inductive Logic Programming. Techniques and Applications.pdf 86.9 kBVolume 23/#2-3/00 - Introduction.pdf 104.3 kBVolume 23/#2-3/01 - Real-world robotics. Learning to plan for robust execution.pdf 1.7 MBVolume 23/#2-3/02 - Robot programming by Demonstration (RPD). Supporting the induction by human interaction.pdf 1.2 MBVolume 23/#2-3/03 - Performance improvement of robot continuous-path operation through iterative learning using neural networks.pdf 1.0 MBVolume 23/#2-3/04 - Learning controllers for industrial robots.pdf 1.3 MBVolume 23/#2-3/05 - Active learning for vision-based robot grasping.pdf 1.3 MBVolume 23/#2-3/06 - Purposive behavior acquisition for a real robot by vision-based reinforcement learning.pdf 997.0 kBVolume 23/#2-3/07 - Learning concepts from sensor data of a mobile robot.pdf 1.3 MBVolume 24/#1/00 - BEXA. A Covering Algorithm for Learning Propositional Concept Descriptions.pdf 1.2 MBVolume 24/#1/01 - Technical Note. Some Properties of Splitting Criteria.pdf 195.2 kBVolume 24/#1/02 - Stacked Regressions.pdf 413.8 kBVolume 24/#1/03 - On Learning Visual Concepts and DNF Formulae.pdf 345.7 kBVolume 24/#2/00 - A Lattice Conceptual Clustering System and Its Application to Browsing Retrieval.pdf 285.0 kBVolume 24/#2/01 - Bagging Predictors.pdf 300.7 kBVolume 24/#2/02 - Unifying Instance-Based and Rule-Based Induction.pdf 385.2 kBVolume 24/#3/00 - Error Reduction through Learning Multiple Descriptions.pdf 320.0 kBVolume 24/#3/01 - A Decision-Tree Model of Balance Scale Development.pdf 322.2 kBVolume 24/#3/02 - Efficient Incremental Induction of Decision Trees.pdf 160.2 kBVolume 25/#1/00 - Exploration Bonuses and Dual Control.pdf 256.4 kBVolume 25/#1/01 - On-line Prediction and Conversion Strategies.pdf 500.8 kBVolume 25/#1/01 - Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs.pdf 365.9 kBVolume 25/#1/02 - PAC Learning of One-Dimensional Patterns.pdf 586.4 kBVolume 25/#2-3/00 - Guest editor's introduction.pdf 83.4 kBVolume 25/#2-3/01 - The power of amnesia. Learning probabilistic automata with variable memory length.pdf 1.4 MBVolume 25/#2-3/02 - Classic learning.pdf 2.1 MBVolume 25/#2-3/03 - Rigorous learning curve bounds from statistical mechanics.pdf 1.7 MBVolume 25/#2-3/04 - On the limits of proper learnability of subclasses of DNF formulas.pdf 1.4 MBVolume 26/#1/00 - Empirical Support for Winnow and Weighted-Majority Algorithms Results on a Calendar Scheduling Domain.pdf 225.4 kBVolume 26/#1/01 - Exact Learning of Formulas in Parallel.pdf 149.9 kBVolume 26/#1/02 - Learning and Updating of Uncertainty in Dirichlet Models.pdf 372.6 kBVolume 26/#1/03 - A Microscopic Study of Minimum Entropy Search in Learning Decomposable Markov Networks.pdf 218.1 kBVolume 26/#2-3/00 - Guest Editors' Introduction.pdf 41.3 kBVolume 26/#2-3/01 - Clausal Discovery.pdf 580.2 kBVolume 26/#2-3/02 - First Order Regression.pdf 289.6 kBVolume 26/#2-3/03 - Learning Qualitative Models of Dynamic Systems.pdf 640.0 kBVolume 26/#2-3/04 - Generalization of Clauses Relative to a Theory.pdf 123.1 kBVolume 26/#2-3/05 - A Pattern-Based First-Order Inductive System.pdf 333.5 kBVolume 27/#1/00 - Guest Editor's Introduction.pdf 16.5 kBVolume 27/#1/01 - An Experimental and Theoretical Comparison of Model Selection Methods.pdf 840.0 kBVolume 27/#1/02 - Predicting Nearly As Well As the Best Pruning of a Decision Tree.pdf 327.1 kBVolume 27/#1/03 - Exactly Learning Automata of Small Cover Time.pdf 452.0 kBVolume 27/#1/04 - A Comparison of New and Old Algorithms for a Mixture Estimation Problem.pdf 478.1 kBVolume 27/#2/00 - Characteristic Sets for Polynomial Grammatical Inference.pdf 115.9 kBVolume 27/#2/01 - Pruning Algorithms for Rule Learning.pdf 390.7 kBVolume 27/#2/02 - Representing Probabilistic Rules with Networks of Gaussian Basis Functions.pdf 333.9 kBVolume 27/#3/00 - Guest Editors' Introduction.pdf 45.0 kBVolume 27/#3/01 - Integrating Multiple Learning Strategies in First Order Logics.pdf 396.0 kBVolume 27/#3/02 - Using Background Knowledge to Build Multistrategy Learners.pdf 124.3 kBVolume 27/#3/03 - Tracking Context Changes through Meta-Learning.pdf 324.5 kBVolume 27/#3/04 - A Multistrategy Approach to Relational Knowledge Discovery in Databases.pdf 368.0 kBVolume 27/#3/05 - Learning and Revising User Profiles The Identification of Interesting Web Sites.pdf 168.6 kBVolume 28/#1/00 - Guest Editors' Introduction.pdf 12.9 kBVolume 28/#1/01 - A Bayesian-Information Theoretic Model of Learning to Learn via Multiple Task Sampling.pdf 417.8 kBVolume 28/#1/02 - Multitask Learning.pdf 390.7 kBVolume 28/#1/03 - CHILD A First Step Towards Continual Learning.pdf 318.4 kBVolume 28/#1/04 - Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement.pdf 382.0 kBVolume 28/#2-3/00 - Selective Sampling Using the Query by Committee Algorithm.pdf 446.0 kBVolume 28/#2-3/01 - Explanation-Based Learning and Reinforcement Learning A Unified View.pdf 487.7 kBVolume 28/#2-3/02 - Malicious Omissions and Errors in Answers to Membership Queries.pdf 734.0 kBVolume 28/#2-3/03 - An Exact Probability Metric for Decision Tree Splitting and Stopping.pdf 391.4 kBVolume 29/#1/00 - Decision Tree Induction Based on Efficient Tree Restructuring.pdf 364.8 kBVolume 29/#1/01 - Online Learning versus Offline Learning.pdf 329.8 kBVolume 29/#1/02 - Coping with Uncertainty in Map Learning.pdf 459.5 kBVolume 29/#2-3/00 - Learning with Probabilistic Representations.pdf 126.6 kBVolume 29/#2-3/01 - On the Optimality of the Simple Bayesian Classifier under Zero-One Loss.pdf 353.3 kBVolume 29/#2-3/02 - Bayesian Network Classifiers.pdf 529.8 kBVolume 29/#2-3/03 - The Sample Complexity of Learning Fixed-Structure Bayesian Networks.pdf 294.6 kBVolume 29/#2-3/04 - Efficient Approximations for the Marginal Likelihood of Bayesian Networks with Hidden Variables.pdf 411.4 kBVolume 29/#2-3/05 - Adaptive Probabilistic Networks with Hidden Variables.pdf 386.6 kBVolume 29/#2-3/06 - Factorial Hidden Markov Models.pdf 401.8 kBVolume 29/#2-3/07 - Predicting Protein Secondary Structure Using Stochastic Tree Grammars.pdf 406.0 kBVolume 30/#1/00 - Guest Editor's Introduction.pdf 57.1 kBVolume 30/#1/01 - PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples.pdf 311.2 kBVolume 30/#1/02 - A Note on Learning from Multiple-Instance Examples.pdf 240.1 kBVolume 30/#1/03 - Strong Minimax Lower Bounds for Learning.pdf 184.1 kBVolume 30/#1/04 - Hardness Results for Learning First-Order Representations and Programming by Demonstration.pdf 489.8 kBVolume 30/#1/05 - On Restricted-Focus-of-Attention Learnability of Boolean Functions.pdf 524.0 kBVolume 30/#2-3/00 - Guest Editors' Introduction On Applied Research in Machine Learning.pdf 98.3 kBVolume 30/#2-3/01 - Learning in the Real World.pdf 322.2 kBVolume 30/#2-3/02 - Learning to Recognize Volcanoes on Venus.pdf 964.6 kBVolume 30/#2-3/03 - Machine Learning for the Detection of Oil Spills in Satellite Radar Images.pdf 717.0 kBVolume 30/#2-3/04 - Knowledge-Based Learning in Exploratory Science Learning Rules to Predict Rodent Carcinogenicity.pdf 368.8 kBVolume 30/#2-3/05 - Pharmacophore Discovery Using the Inductive Logic Programming System PROGOL.pdf 535.5 kBVolume 30/#2-3/06 - Glossary of Terms.pdf 143.8 kBVolume 31/#1-3/00 - Foreword.pdf 15.7 kBVolume 31/#1-3/01 - Rapid Concept Learning for Mobile Robots.pdf 269.5 kBVolume 31/#1-3/02 - A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots.pdf 586.8 kBVolume 31/#1-3/03 - Module-Based Reinforcement Learning - Experiments with a Real Robot.pdf 219.9 kBVolume 31/#1-3/04 - Hierarchical Learning of Navigational Behaviors in an Autonomous Robot using a Predictive Sparse Distributed Memory.pdf 248.1 kBVolume 31/#1-3/05 - Learning from Innate Behaviors - A Quantitative Evaluation of Neural Network Controllers.pdf 145.0 kBVolume 31/#1-3/06 - Learning from History for Behavior-Based Mobile Robots in Non-Stationary Conditions.pdf 284.5 kBVolume 31/#1-3/07 - Self Calibration of the Fixation Movement of a Stereo Camera Head.pdf 130.9 kBVolume 31/#1-3/08 - Emergence and Categorization of Coordinated Visual Behavior Through Embodied Interaction.pdf 121.3 kBVolume 31/#1-3/09 - Training a Vision Guided Mobile Robot.pdf 190.4 kBVolume 31/#1-3/10 - Learning Dextrous Manipulation Skills for Multifingered Robot Hands Using the Evolution Strategy.pdf 186.8 kBVolume 31/#1-3/11 - Learning to Recognize and Grasp Objects.pdf 219.1 kBVolume 32/#1/00 - Analytical Mean Squared Error Curves for Temporal Difference Learning.pdf 1.5 MBVolume 32/#1/01 - The Hierarchical Hidden Markov Model Analysis and Applications.pdf 443.4 kBVolume 32/#1/02 - Using Model Trees for Classification.pdf 207.1 kBVolume 32/#1/03 - Erratum.pdf 59.0 kBVolume 32/#2/00 - Guest Editors'Introduction.pdf 36.3 kBVolume 32/#2/01 - Robust Sensor Fusion Analysis and Application to Audio Visual Speech Recognition.pdf 203.8 kBVolume 32/#2/02 - Extracting Hidden Context.pdf 237.2 kBVolume 32/#2/03 - Tracking the Best Disjunction.pdf 273.0 kBVolume 32/#2/04 - Tracking the Best Expert.pdf 434.5 kBVolume 32/#2/05 - Statistical Mechanics of Online Learning of Drifting Concepts A Variational Approach.pdf 306.2 kBVolume 32/#3/00 - Localization vs. Identification of Semi-Algebraic Sets.pdf 160.8 kBVolume 32/#3/01 - Co-Evolution in the Successful Learning of Backgammon Strategy.pdf 192.1 kBVolume 32/#3/02 - Comments on “Co-Evolution in the Successful Learning of Backgammon Strategy”.pdf 23.6 kBVolume 32/#3/03 - Learning from Examples and Membership Queries with Structured Determinations.pdf 402.7 kBVolume 33/#1/00 - Prequential and Cross-Validated Regression Estimation.pdf 193.7 kBVolume 33/#1/01 - Bayesian Landmark Learning for Mobile Robot Localization.pdf 517.9 kBVolume 33/#1/02 - Choice of Basis for Laplace Approximation.pdf 78.6 kBVolume 33/#1/03 - Self-Directed Learning and Its Relation to the VC-Dimension and to Teacher-Directed Learning.pdf 98.1 kBVolume 33/#1/04 - Fast Online Q(lambda).pdf 82.1 kBVolume 33/#2-3/00 - Guest Editorial.pdf 32.6 kBVolume 33/#2-3/01 - Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments.pdf 292.0 kBVolume 33/#2-3/02 - Learning Coordination Strategies for Cooperative Multiagent Systems.pdf 451.5 kBVolume 33/#2-3/03 - Conjectural Equilibrium in Multiagent Learning.pdf 153.3 kBVolume 33/#2-3/04 - Colearning in Differential Games.pdf 242.0 kBVolume 33/#2-3/05 - Elevator Group Control Using Multiple Reinforcement Learning Agents.pdf 136.8 kBVolume 33/#2-3/06 - Learning Team Strategies Soccer Case Studies.pdf 177.2 kBVolume 34/#1-3/00 - Guest Editors' Introduction Machine Learning and Natural Language.pdf 31.2 kBVolume 34/#1-3/01 - Forgetting Exceptions is Harmful in Language Learning.pdf 192.2 kBVolume 34/#1-3/02 - Similarity-Based Models of Word Cooccurrence Probabilities.pdf 173.1 kBVolume 34/#1-3/03 - An Efficient, Probabilistically Sound Algorithm for Segmentation and Word Discovery.pdf 193.1 kBVolume 34/#1-3/04 - A Winnow-Based Approach to Context-Sensitive Spelling Correction.pdf 900.0 kBVolume 34/#1-3/05 - Using Decision Trees to Construct a Practical Parser.pdf 105.5 kBVolume 34/#1-3/06 - Learning to Parse Natural Language with Maximum Entropy Models.pdf 154.1 kBVolume 34/#1-3/07 - Statistical Models for Text Segmentation.pdf 247.0 kBVolume 34/#1-3/08 - An Algorithm that Learns What's in a Name.pdf 138.1 kBVolume 34/#1-3/09 - Learning Information Extraction Rules for Semi-Structured and Free Text.pdf 215.3 kBVolume 35/#1/00 - An Experimental Evaluation of Integrating Machine Learning with Knowledge Acquisition.pdf 93.4 kBVolume 35/#1/01 - Concept Learning and Feature Selection Based on Square-Error Clustering.pdf 105.3 kBVolume 35/#1/02 - An Efficient Method To Estimate Bagging's Generalization Error.pdf 115.7 kBVolume 35/#1/03 - Learning to Take Actions.pdf 149.6 kBVolume 35/#2/00 - Learning to Reason with a Restricted View.pdf 191.0 kBVolume 35/#2/01 - Exploration of Multi-State Environments Local Measures and Back-Propagation of Uncertainty.pdf 240.6 kBVolume 35/#2/02 - Toward a Model of Intelligence as an Economy of Agents.pdf 211.4 kBVolume 35/#3/00 - Introducing the Special Issue of Machine Learning Selected from Papers Presented at the 1997 Conference on Computational Learning Theory, COLT '97.pdf 12.3 kBVolume 35/#3/01 - Universal Portfolios With and Without Transaction Costs.pdf 77.2 kBVolume 35/#3/02 - A Dichotomy Theorem for Learning Quantified Boolean Formulas.pdf 92.7 kBVolume 35/#3/03 - Estimation of Time-Varying Parameters in Statistical Models An Optimization Approach.pdf 114.3 kBVolume 35/#3/04 - Derandomizing Stochastic Prediction Strategies.pdf 167.3 kBVolume 36/#1-2/00 - Guest Editors' Introduction.pdf 16.8 kBVolume 36/#1-2/01 - A Principal Components Approach to Combining Regression Estimates.pdf 140.3 kBVolume 36/#1-2/02 - Using Correspondence Analysis to Combine Classifiers.pdf 117.8 kBVolume 36/#1-2/03 - Linearly Combining Density Estimators via Stacking.pdf 272.6 kBVolume 36/#1-2/04 - Pasting Small Votes for Classification in Large Databases and On-Line.pdf 102.3 kBVolume 36/#1-2/05 - An Empirical Comparison of Voting Classification Algorithms Bagging, Boosting, and Variants.pdf 430.2 kBVolume 36/#3/00 - Structural Results About On-line Learning Models With and Without Queries.pdf 178.3 kBVolume 36/#3/01 - An Efficient Extension to Mixture Techniques for Prediction and Decision Trees.pdf 123.1 kBVolume 36/#3/02 - General and Efficient Multisplitting of Numerical Attributes.pdf 388.7 kBVolume 37/#1/00 - A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns.pdf 929.5 kBVolume 37/#1/01 - Minimum Generalization Via Reflection A Fast Linear Threshold Learner.pdf 100.5 kBVolume 37/#1/02 - Mixed Memory Markov Models Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones.pdf 64.7 kBVolume 37/#1/03 - Efficient Read-Restricted Monotone CNF-DNF Dualization by Learning with Membership Queries.pdf 110.8 kBVolume 37/#2/00 - Projection Learning.pdf 88.5 kBVolume 37/#2/01 - On the Sample Complexity for Nonoverlapping Neural Networks.pdf 61.8 kBVolume 37/#2/02 - Effective and Efficient Knowledge Base Refinement.pdf 284.0 kBVolume 37/#2/03 - An Introduction to Variational Methods for Graphical Models.pdf 529.2 kBVolume 37/#3/00 - Guest Editors' Introduction.pdf 14.6 kBVolume 37/#3/01 - Learning Function-Free Horn Expressions.pdf 167.9 kBVolume 37/#3/02 - Large Margin Classification Using the Perceptron Algorithm.pdf 156.2 kBVolume 37/#3/03 - Improved Boosting Algorithms Using Confidence-rated Predictions.pdf 233.7 kBVolume 37/#3/04 - The Complexity of Learning According to Two Models of a Drifting Environment.pdf 109.2 kBVolume 37/#3/05 - Some PAC-Bayesian Theorems.pdf 46.5 kBVolume 38/#1-2/00 - Guest Editors' Introduction.pdf 17.4 kBVolume 38/#1-2/01 - Evolutionary Processes Guided by Machine Learning.pdf 587.9 kBVolume 38/#1-2/02 - Resource-bounded Relational Reasoning Induction and Deduction Through Stochastic Matching.pdf 99.4 kBVolume 38/#1-2/03 - Strategies in Combined Learning via Logic Programs.pdf 135.4 kBVolume 38/#1-2/04 - Feature Selection vs Theory Reformulation A Study of Genetic Refinement of Knowledge-based Neural Networks.pdf 190.1 kBVolume 38/#1-2/05 - Refining Numerical Constants in First Order Logic Theories.pdf 145.3 kBVolume 38/#1-2/06 - Multistrategy Theory Revision Induction and Abduction in INTHELEX.pdf 136.4 kBVolume 38/#1-2/07 - Multistrategy Discovery and Detection of Novice Programmer Errors.pdf 136.3 kBVolume 38/#1-2/08 - Multi Level Knowledge in Modeling Qualitative Physics Learning.pdf 236.8 kBVolume 38/#1-2/09 - A Multistrategy Approach to Classifier Learning from Time Series.pdf 388.8 kBVolume 38/#3/00 - Improved Generalization Through Explicit Optimization of Margins.pdf 105.1 kBVolume 38/#3/01 - Reduction Techniques for Instance-Based Learning Algorithms.pdf 245.0 kBVolume 38/#3/02 - Convergence Results for Single-Step On-Policy Reinforcement-Learning Algorithms.pdf 118.6 kBVolume 38/#3/03 - Multiple Comparisons in Induction Algorithms.pdf 244.0 kBVolume 39/#1/00 - Nonparametric Time Series Prediction Through Adaptive Model Selection.pdf 160.6 kBVolume 39/#1/01 - On-line Learning and the Metrical Task System Problem.pdf 109.6 kBVolume 39/#1/02 - A Machine Learning Approach to POS Tagging.pdf 232.4 kBVolume 39/#2-3/00 - Special Issue of Machine Learning on Information Retrieval Introduction.pdf 17.2 kBVolume 39/#2-3/01 - Text Classification from Labeled and Unlabeled Documents using EM.pdf 169.0 kBVolume 39/#2-3/02 - BoosTexter A Boosting-based System for Text Categorization.pdf 358.4 kBVolume 39/#2-3/03 - Machine Learning for Information Extraction in Informal Domains.pdf 153.5 kBVolume 39/#2-3/04 - Adaptive Retrieval Agents Internalizing Local Context and Scaling up to the Web.pdf 437.9 kBVolume 40/#1/00 - Implementation Issues in the Fourier Transform Algorithm.pdf 351.2 kBVolume 40/#1/01 - Constructing X-of-N Attributes for Decision Tree Learning.pdf 444.1 kBVolume 40/#1/02 - Upper and Lower Bounds on the Learning Curve for Gaussian Processes.pdf 149.7 kBVolume 40/#2/00 - Stochastic Grammatical Inference of Text Database Structure.pdf 197.6 kBVolume 40/#2/01 - An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees Bagging, Boosting, and Randomization.pdf 331.8 kBVolume 40/#2/02 - MultiBoosting A Technique for Combining Boosting and Wagging.pdf 128.3 kBVolume 40/#3/00 - A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms.pdf 164.2 kBVolume 40/#3/01 - Randomizing Outputs to Increase Prediction Accuracy.pdf 54.6 kBVolume 40/#3/02 - Learning to Play Chess Using Temporal Differences.pdf 120.3 kBVolume 40/#3/03 - A Study of Reinforcement Learning in the Continuous Case by the Means of Viscosity Solutions.pdf 347.0 kBVolume 41/#1/00 - Technical Note Naive Bayes for Regression.pdf 89.0 kBVolume 41/#1/01 - Selecting Examples for Partial Memory Learning.pdf 348.2 kBVolume 41/#1/02 - Lazy Learning of Bayesian Rules.pdf 481.0 kBVolume 41/#1/03 - A Cognitive Bias Approach to Feature Selection and Weighting for Case-Based Learners.pdf 111.5 kBVolume 41/#2/00 - Maximizing Theory Accuracy Through Selective Reinterpretation.pdf 212.0 kBVolume 41/#2/01 - Learning Changing Concepts by Exploiting the Structure of Change.pdf 115.4 kBVolume 41/#2/02 - A Formalism for Relevance and Its Application in Feature Subset Selection.pdf 95.5 kBVolume 41/#2/03 - Adaptive Versus Nonadaptive Attribute-Efficient Learning.pdf 100.4 kBVolume 41/#2/04 - Phase Transitions in Relational Learning.pdf 244.5 kBVolume 41/#3/00 - Bottom-Up Induction of Feature Terms.pdf 706.4 kBVolume 41/#3/01 - Enlarging the Margins in Perceptron Decision Trees.pdf 150.9 kBVolume 41/#3/02 - Cascade Generalization.pdf 274.0 kBVolume 41/#3/03 - Markov Processes on Curves.pdf 111.8 kBVolume 42/#1-2/00 - Introduction.pdf 17.0 kBVolume 42/#1-2/01 - An Experimental Comparison of Model-Based Clustering Methods.pdf 92.9 kBVolume 42/#1-2/02 - SPADE An Efficient Algorithm for Mining Frequent Sequences.pdf 515.9 kBVolume 42/#1-2/03 - Confirmation-Guided Discovery of First-Order Rules with Tertius.pdf 144.3 kBVolume 42/#1-2/04 - Supervised Versus Unsupervised Binary-Learning by Feedforward Neural Networks.pdf 146.2 kBVolume 42/#1-2/05 - Linear Concepts and Hidden Variables.pdf 119.7 kBVolume 42/#1-2/06 - Concept Decompositions for Large Sparse Text Data Using Clustering.pdf 211.1 kBVolume 42/#1-2/07 - Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf 178.6 kBVolume 42/#3/00 - Robust Classification for Imprecise Environments.pdf 231.4 kBVolume 42/#3/01 - A Learning Generalization Bound with an Application to Sparse-Representation Classifiers.pdf 47.2 kBVolume 42/#3/02 - On the Convergence of Temporal-Difference Learning with Linear Function Approximation.pdf 131.7 kBVolume 42/#3/03 - The Effect of Instance-Space Partition on Significance.pdf 136.9 kBVolume 42/#3/04 - Soft Margins for AdaBoost.pdf 240.6 kBVolume 42/#3/05 - Errata.pdf 9.3 kBVolume 43/#1-2/00 - Guest Editorial.pdf 13.9 kBVolume 43/#1-2/01 - Relational Reinforcement Learning.pdf 341.8 kBVolume 43/#1-2/02 - Relational Instance-Based Learning with Lists and Terms.pdf 158.9 kBVolume 43/#1-2/03 - The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures.pdf 104.8 kBVolume 43/#1-2/04 - Relational Learning with Statistical Predicate Invention Better Models for Hypertext.pdf 129.4 kBVolume 43/#1-2/05 - Unsupervised Learning of Word Segmentation Rules with Genetic Algorithms and Inductive Logic Programming.pdf 257.0 kBVolume 43/#3/00 - Guest Editor's Introduction.pdf 12.9 kBVolume 43/#3/01 - General Convergence Results for Linear Discriminant Updates.pdf 202.0 kBVolume 43/#3/02 - Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions.pdf 180.4 kBVolume 43/#3/03 - Worst-Case Bounds for the Logarithmic Loss of Predictors.pdf 96.5 kBVolume 43/#3/04 - Drifting Games.pdf 129.5 kBVolume 43/#3/05 - An Adaptive Version of the Boost by Majority Algorithm.pdf 131.5 kBVolume 44/#1-2/00 - Introduction.pdf 16.0 kBVolume 44/#1-2/01 - Learning DFA from Simple Examples.pdf 157.4 kBVolume 44/#1-2/02 - Learning Regular Languages from Simple Positive Examples.pdf 140.1 kBVolume 44/#1-2/03 - Stochastic Finite Learning of the Pattern Languages.pdf 129.8 kBVolume 44/#1-2/04 - Efficient Algorithms for the Inference of Minimum Size DFAs.pdf 165.8 kBVolume 44/#1-2/05 - Some Statistical-Estimation Methods for Stochastic Finite-State Transducers.pdf 98.4 kBVolume 44/#1-2/06 - Language Simplification through Error-Correcting and Grammatical Inference Techniques.pdf 150.1 kBVolume 44/#1-2/07 - Noisy Time Series Prediction using Recurrent Neural Networks and Grammatical Inference.pdf 186.5 kBVolume 44/#1-2/08 - Stochastic Inference of Regular Tree Languages.pdf 85.1 kBVolume 44/#3/00 - Editorial Inductive Logic Programming is Coming of Age.pdf 18.2 kBVolume 44/#3/01 - On Exact Learning of Unordered Tree Patterns.pdf 193.3 kBVolume 44/#3/02 - Parameter Estimation in Stochastic Logic Programs.pdf 163.2 kBVolume 44/#3/03 - Approximate Match of Rules Using Backpropagation Neural Networks.pdf 114.6 kBVolume 44/#3/04 - Extracting Context-Sensitive Models in Inductive Logic Programming.pdf 203.7 kBVolume 45/#1/00 - Random Forests.pdf 181.1 kBVolume 45/#1/01 - On the VC Dimension of Bounded Margin Classifiers.pdf 68.2 kBVolume 45/#1/02 - Iterated Phantom Induction A Knowledge-Based Approach to Learning Control.pdf 178.8 kBVolume 45/#1/03 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf 322.4 kBVolume 45/#1/04 - Optimizing Epochal Evolutionary Search Population-Size Dependent Theory.pdf 322.4 kBVolume 45/#2/00 - Learning with Maximum-Entropy Distributions.pdf 145.5 kBVolume 45/#2/01 - Robust Learning with Missing Data.pdf 157.0 kBVolume 45/#2/02 - A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems.pdf 96.5 kBVolume 45/#2/03 - Predicting the Future of Discrete Sequences from Fractal Representations of the Past.pdf 754.6 kBVolume 45/#2/04 - Reinterpreting the Category Utility Function.pdf 62.2 kBVolume 45/#3/00 - Efficient Construction of Regression Trees with Range and Region Splitting.pdf 201.6 kBVolume 45/#3/01 - Using Iterated Bagging to Debias Regressions.pdf 69.2 kBVolume 45/#3/02 - Accelerating EM for Large Databases.pdf 311.2 kBVolume 45/#3/03 - Relative Loss Bounds for Multidimensional Regression Problems.pdf 176.1 kBVolume 46/#1-3/00 - Editorial Kernel Methods Current Research and Future Directions.pdf 29.1 kBVolume 46/#1-3/01 - On a Connection between Kernel PCA and Metric Multidimensional Scaling.pdf 59.9 kBVolume 46/#1-3/02 - Bayesian Methods for Support Vector Machines Evidence and Predictive Class Probabilities.pdf 707.8 kBVolume 46/#1-3/03 - Hierarchical Learning in Polynomial Support Vector Machines.pdf 121.1 kBVolume 46/#1-3/04 - A Probabilistic Framework for SVM Regression and Error Bar Estimation.pdf 112.5 kBVolume 46/#1-3/05 - On the Dual Formulation of Regularized Linear Systems with Convex Risks.pdf 208.7 kBVolume 46/#1-3/06 - Choosing Multiple Parameters for Support Vector Machines.pdf 238.9 kBVolume 46/#1-3/07 - Training Invariant Support Vector Machines.pdf 586.0 kBVolume 46/#1-3/08 - Support Vector Machines for Classification in Nonstandard Situations.pdf 72.7 kBVolume 46/#1-3/09 - An Analytic Center Machine.pdf 183.8 kBVolume 46/#1-3/10 - Linear Programming Boosting via Column Generation.pdf 310.6 kBVolume 46/#1-3/11 - Large Scale Kernel Regression via Linear Programming.pdf 117.6 kBVolume 46/#1-3/12 - Efficient SVM Regression Training with SMO.pdf 111.5 kBVolume 46/#1-3/13 - A Simple Decomposition Method for Support Vector Machines.pdf 145.5 kBVolume 46/#1-3/14 - Feasible Direction Decomposition Algorithms for Training Support Vector Machines.pdf 215.4 kBVolume 46/#1-3/15 - Convergence of a Generalized SMO Algorithm for SVM Classifier Design.pdf 66.9 kBVolume 46/#1-3/15 - The Relaxed Online Maximum Margin Algorithm.pdf 144.9 kBVolume 46/#1-3/16 - Gene Selection for Cancer Classification using Support Vector Machines.pdf 559.5 kBVolume 46/#1-3/17 - Text Categorization with Support Vector Machines. How to Represent Texts in Input Space.pdf 314.1 kBVolume 47/#1/00 - Editorial.pdf 15.3 kBVolume 47/#1/01 - Maximum Likelihood Estimation of Mixture Densities for Binned and Truncated Multivariate Data.pdf 204.9 kBVolume 47/#1/02 - A New Nonparametric Pairwise Clustering Algorithm Based on Iterative Estimation of Distance Profiles.pdf 350.1 kBVolume 47/#1/03 - Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction.pdf 166.8 kBVolume 47/#1/04 - Bayesian Clustering by Dynamics.pdf 205.8 kBVolume 47/#2-3/00 - Guest Editor's Introduction.pdf 14.3 kBVolume 47/#2-3/01 - PAC Analogues of Perceptron and Winnow Via Boosting the Margin.pdf 125.0 kBVolume 47/#2-3/02 - Boosting Methods for Regression.pdf 306.3 kBVolume 47/#2-3/03 - On the Learnability and Design of Output Codes for Multiclass Problems.pdf 185.1 kBVolume 47/#2-3/04 - Finite-time Analysis of the Multiarmed Bandit Problem.pdf 164.5 kBVolume 47/#2-3/05 - Theory Revision with Queries DNF Formulas.pdf 205.0 kBVolume 48/#1-3/00 - Guest Introduction Special Issue on New Methods for Model Selection and Model Combination.pdf 17.8 kBVolume 48/#1-3/01 - Model Selection for Small Sample Regression.pdf 428.1 kBVolume 48/#1-3/02 - Theoretical and Experimental Evaluation of the Subspace Information Criterion.pdf 1.2 MBVolume 48/#1-3/03 - Metric-Based Methods for Adaptive Model Selection and Regularization.pdf 171.3 kBVolume 48/#1-3/04 - Model Selection and Error Estimation.pdf 221.7 kBVolume 48/#1-3/05 - Statistical Properties and Adaptive Tuning of Support Vector Machines.pdf 146.1 kBVolume 48/#1-3/06 - Structural Modelling with Sparse Kernels.pdf 368.2 kBVolume 48/#1-3/07 - Kernel Matching Pursuit.pdf 274.2 kBVolume 48/#1-3/08 - Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces.pdf 163.6 kBVolume 48/#1-3/09 - On the Existence of Linear Weak Learners and Applications to Boosting.pdf 189.2 kBVolume 48/#1-3/10 - Logistic Regression, AdaBoost and Bregman Distances.pdf 197.4 kBVolume 48/#1-3/11 - Estimating Generalization Error on Two-Class Datasets Using Out-of-Bag Estimates.pdf 52.9 kBVolume 48/#1-3/12 - Bayesian Treed Models.pdf 187.3 kBVolume 48/#1-3/13 - Decision Region Connectivity Analysis A Method for Analyzing High-Dimensional Classifiers.pdf 794.6 kBVolume 49/#1/00 - The Lagging Anchor Algorithm Reinforcement Learning in Two-Player Zero-Sum Games with Imperfect Information.pdf 183.1 kBVolume 49/#1/01 - A Simple Method for Generating Additive Clustering Models with Limited Complexity.pdf 106.9 kBVolume 49/#1/02 - Feature Generation Using General Constructor Functions.pdf 223.9 kBVolume 49/#2-3/00 - Introduction.pdf 21.0 kBVolume 49/#2-3/01 - Reinforcement Learning for Call Admission Control and Routing under Quality of Service Constraints in Multimedia Networks.pdf 457.2 kBVolume 49/#2-3/02 - Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts.pdf 245.9 kBVolume 49/#2-3/03 - Kernel-Based Reinforcement Learning.pdf 109.4 kBVolume 49/#2-3/04 - On Average Versus Discounted Reward Temporal-Difference Learning.pdf 69.7 kBVolume 49/#2-3/05 - A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes.pdf 104.2 kBVolume 49/#2-3/06 - Near-Optimal Reinforcement Learning in Polynomial Time.pdf 118.9 kBVolume 49/#2-3/07 - Technical Update Least-Squares Temporal Difference Learning.pdf 136.3 kBVolume 49/#2-3/08 - Continuous-Action Q-Learning.pdf 234.8 kBVolume 49/#2-3/09 - Risk-Sensitive Reinforcement Learning.pdf 124.5 kBVolume 49/#2-3/10 - Variable Resolution Discretization in Optimal Control.pdf 953.9 kBVolume 49/#2-3/11 - Structure in the Space of Value Functions.pdf 665.7 kBVolume 50/#1-2/00 - An Introduction to MCMC for Machine Learning.pdf 424.2 kBVolume 50/#1-2/01 - EM, MCMC, and Chain Flipping for Structure from Motion with Unknown Correspondence.pdf 463.5 kBVolume 50/#1-2/02 - Mixtures of Factor Analysers. Bayesian Estimation and Inference by Stochastic Simulation.pdf 136.5 kBVolume 50/#1-2/03 - Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks.pdf 1.8 MBVolume 50/#1-2/04 - Improving Markov Chain Monte Carlo Model Search for Data Mining.pdf 311.0 kBVolume 50/#1-2/05 - Classification with Bayesian MARS.pdf 107.1 kBVolume 50/#1-2/06 - Population Markov Chain Monte Carlo.pdf 305.9 kBVolume 50/#1-2/07 - A Noninformative Prior for Neural Networks.pdf 85.6 kBVolume 50/#3/00 - Introduction.pdf 22.1 kBVolume 50/#3/01 - Combining Classifiers with Meta Decision Trees.pdf 152.9 kBVolume 50/#3/02 - Ranking Learning Algorithms Using IBL and Meta-Learning on Accuracy and Time Results.pdf 117.0 kBVolume 50/#3/03 - Learning to Match the Schemas of Data Sources A Multistrategy Approach.pdf 554.4 kBVolume 50/#3/04 - Clustered Partial Linear Regression.pdf 142.7 kBVolume 50/#3/05 - Complete Mining of Frequent Patterns from Graphs Mining Graph Data.pdf 653.3 kBVolume 51/#1/00 - PAC-Bayesian Stochastic Model Selection.pdf 89.4 kBVolume 51/#1/01 - Relative Loss Bounds for Temporal-Difference Learning.pdf 154.6 kBVolume 51/#1/02 - Polynomial-Time Decomposition Algorithms for Support Vector Machines.pdf 107.8 kBVolume 51/#1/03 - An Empirical Study of Two Approaches to Sequence Learning for Anomaly Detection.pdf 251.0 kBVolume 51/#2/00 - Variance and Bias for General Loss Functions.pdf 89.6 kBVolume 51/#2/01 - Learning from Different Teachers.pdf 133.1 kBVolume 51/#2/02 - Microchoice Bounds and Self Bounding Learning Algorithms.pdf 81.4 kBVolume 51/#2/03 - Measures of Diversity in Classifier Ensembles and Their Relationship with the Ensemble Accuracy.pdf 455.7 kBVolume 51/#3/00 - Guest Editor's Introduction.pdf 16.7 kBVolume 51/#3/01 - Boosting and Hard-Core Set Construction.pdf 143.6 kBVolume 51/#3/02 - Potential-Based Algorithms in On-Line Prediction and Game Theory.pdf 130.8 kBVolume 51/#3/03 - Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces.pdf 106.8 kBVolume 51/#3/04 - A Theoretical Analysis of Query Selection for Collaborative Filtering.pdf 128.0 kBVolume 52/#1-2/00 - Editorial Methods in Functional Genomics.pdf 27.1 kBVolume 52/#1-2/01 - Relation Between Permutation-Test P Values and Classifier Error Estimates.pdf 151.2 kBVolume 52/#1-2/02 - Boosting and Microarray Data.pdf 67.1 kBVolume 52/#1-2/03 - Analysis and Visualization of Gene Expression Microarray Data in Human Cancer Using Self-Organizing Maps.pdf 1.0 MBVolume 52/#1-2/04 - Self-Organizing Latent Lattice Models for Temporal Gene Expression Profiling.pdf 414.1 kBVolume 52/#1-2/05 - Consensus Clustering A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data.pdf 865.5 kBVolume 52/#1-2/06 - Inclusion of Textual Documentation in the Analysis of Multidimensional Data Sets Application to Gene Expression Data.pdf 171.9 kBVolume 52/#1-2/07 - On Learning Gene Regulatory Networks Under the Boolean Network Model.pdf 125.3 kBVolume 52/#1-2/08 - External Control in Markovian Genetic Regulatory Networks.pdf 107.7 kBVolume 52/#3/00 - Tree Induction for Probability-Based Ranking.pdf 109.3 kBVolume 52/#3/01 - Feature Weighting in k-Means Clustering.pdf 122.1 kBVolume 52/#3/02 - Inference for the Generalization Error.pdf 465.4 kBVolume 53/#1-2/00 - A Microchoice Bound for Continuous-Space Classification Algorithms.pdf 89.0 kBVolume 53/#1-2/01 - Theoretical and Empirical Analysis of ReliefF and RReliefF.pdf 414.5 kBVolume 53/#1-2/02 - Online Ensemble Learning An Empirical Study.pdf 1.4 MBVolume 53/#1-2/03 - Programming by Demonstration Using Version Space Algebra.pdf 455.3 kBVolume 53/#1-2/04 - Improved Rooftop Detection in Aerial Images with Machine Learning.pdf 218.8 kBVolume 53/#3/00 - Learning from Cluster Examples.pdf 291.3 kBVolume 53/#3/01 - Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.pdf 167.1 kBVolume 53/#3/02 - The Robustness of the p-Norm Algorithms.pdf 207.1 kBVolume 54/#1/00 - Benchmarking Least Squares Support Vector Machine Classifiers.pdf 230.8 kBVolume 54/#1/01 - Projection Support Vector Machine Generators.pdf 62.9 kBVolume 54/#1/02 - Support Vector Data Description.pdf 281.6 kBVolume 54/#1/03 - A Hybrid Classification Model.pdf 337.9 kBVolume 54/#2/00 - DeEPs A New Instance-Based Lazy Discovery and Classification System.pdf 119.4 kBVolume 54/#2/01 - Selective Sampling for Nearest Neighbor Classifiers.pdf 212.2 kBVolume 54/#2/02 - Active Sampling for Class Probability Estimation and Ranking.pdf 161.7 kBVolume 54/#3/00 - Introduction to the Special Issue on Meta-Learning.pdf 32.9 kBVolume 54/#3/01 - A Meta-Learning Method to Select the Kernel Width in Support Vector Regression.pdf 90.6 kBVolume 54/#3/02 - Optimal Ordered Problem Solver.pdf 282.2 kBVolume 54/#3/03 - Is Combining Classifiers with Stacking Better than Selecting the Best One.pdf 78.8 kBVolume 54/#3/04 - On Data and Algorithms Understanding Inductive Performance.pdf 525.4 kBVolume 55/#1/00 - A Reinforcement Learning Algorithm Based on Policy Iteration for Average Reward.pdf 172.8 kBVolume 55/#1/01 - Classification Using F-Machines and Constructive Function Approximation.pdf 107.0 kBVolume 55/#1/02 - Khiops A Statistical Discretization Method of Continuous Attributes.pdf 82.1 kBVolume 55/#1/03 - Leave One Out Error, Stability, and Generalization of Voting Combinations of Classifiers.pdf 158.8 kBVolume 55/#2/00 - Guest Editors’ Introduction.pdf 15.1 kBVolume 55/#2/01 - Induction as Consequence Finding.pdf 123.6 kBVolume 55/#2/02 - Fast Theta-Subsumption with Constraint Satisfaction Algorithms.pdf 457.9 kBVolume 55/#2/03 - Inducing Multi-Level Association Rules from Multiple Relations.pdf 217.0 kBVolume 55/#3/00 - Functional Trees.pdf 301.5 kBVolume 55/#3/01 - Bagging Equalizes Influence.pdf 165.8 kBVolume 55/#3/02 - How to Better Use Expert Advice.pdf 270.4 kBVolume 55/#3/03 - Empirical and Theoretical Comparisons of Selected Criterion Functions for Document Clustering.pdf 155.3 kBVolume 56/#1-3/00 - Introduction Special Issue on Theoretical Advances in Data Clustering.pdf 21.0 kBVolume 56/#1-3/01 - Clustering Large Graphs via the Singular Value Decomposition.pdf 140.4 kBVolume 56/#1-3/02 - Optimal Time Bounds for Approximate Clustering.pdf 152.6 kBVolume 56/#1-3/03 - A k-Median Algorithm with Running Time Independent of Data Size.pdf 173.2 kBVolume 56/#1-3/04 - Correlation Clustering.pdf 168.5 kBVolume 56/#1-3/05 - A New Conceptual Clustering Framework.pdf 249.5 kBVolume 56/#1-3/06 - Subquadratic Approximation Algorithms for Clustering Problems in High Dimensional Spaces.pdf 97.6 kBVolume 56/#1-3/07 - Central Clustering of Attributed Graphs.pdf 447.7 kBVolume 56/#1-3/08 - Semi-Supervised Learning on Riemannian Manifolds.pdf 179.9 kBVolume 57/#1-2/00 - Decision Support Through Subgroup Discovery Three Case Studies and the Lessons Learned.pdf 121.6 kBVolume 57/#1-2/01 - Editorial Data Mining Lessons Learned.pdf 36.8 kBVolume 57/#1-2/02 - Introduction Lessons Learned from Data Mining Applications and Collaborative Problem Solving.pdf 91.7 kBVolume 57/#1-2/03 - Mining Skewed and Sparse Transaction Data for Personalized Shopping Recommendation.pdf 1.5 MBVolume 57/#1-2/04 - Multi-Relational Learning, Text Mining, and Semi-Supervised Learning for Functional Genomics.pdf 201.1 kBVolume 57/#1-2/05 - Lessons and Challenges from Mining Retail E-Commerce Data.pdf 565.9 kBVolume 57/#1-2/06 - Learning to Decode Cognitive States from Brain Images.pdf 347.9 kBVolume 57/#1-2/07 - A Bias-Variance Analysis of a Real World Learning Problem The CoIL Challenge 2000.pdf 314.7 kBVolume 57/#3/00 - Guest Editorial.pdf 17.5 kBVolume 57/#3/01 - Kernels and Distances for Structured Data.pdf 189.8 kBVolume 57/#3/02 - Naive Bayesian Classification of Structured Data.pdf 207.1 kBVolume 57/#3/03 - Integrating Guidance into Relational Reinforcement Learning.pdf 289.2 kBVolume 57/#3/04 - Compact Representation of Knowledge Bases in Inductive Logic Programming.pdf 350.9 kBVolume 58/#1/00 - Not So Naive Bayes Aggregating One-Dependence Estimators.pdf 100.7 kBVolume 58/#1/01 - On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf 51.2 kBVolume 58/#1/02 - A Response to Webb and Ting’s On the Application of ROC Analysis to Predict Classification Performance Under Varying Class Distributions.pdf 38.5 kBVolume 58/#1/03 - ROC ‘n’ Rule Learning—Towards a Better Understanding of Covering Algorithms.pdf 322.9 kBVolume 58/#1/04 - Case Based Imprecision Estimates for Bayes Classifiers with the Bayesian Bootstrap.pdf 97.5 kBVolume 58/#2-3/00 - Guest Editorial.pdf 44.5 kBVolume 58/#2-3/01 - Evolutionary Rule Mining in Time Series Databases.pdf 831.9 kBVolume 58/#2-3/02 - Automatic Feature Extraction for Classifying Audio Data.pdf 546.6 kBVolume 58/#2-3/03 - Clustering Time Series with Clipped Data.pdf 461.5 kBVolume 58/#2-3/04 - Classification of Multivariate Time Series and Structured Data Using Constructive Induction.pdf 2.6 MBVolume 58/#2-3/05 - Principle Components and Importance Ranking of Distributed Anomalies.pdf 237.8 kBVolume 58/#2-3/06 - Fast and Exact Warping of Time Series Using Adaptive Segmental Approximations.pdf 4.2 MBVolume 58/#2-3/07 - Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle.pdf 1.3 MBVolume 58/#2-3/08 - Elastic Translation Invariant Matching of Trajectories.pdf 1.7 MBVolume 59/#1-2/00 - Evolving Soccer Keepaway Players Through Task Decomposition.pdf 154.8 kBVolume 59/#1-2/01 - A Reinforcement Learning Scheme for a Partially-Observable Multi-Agent Game.pdf 456.1 kBVolume 59/#1-2/02 - PAC-Bayesian Compression Bounds on the Prediction Error of Learning Algorithms for Classification.pdf 124.6 kBVolume 59/#1-2/03 - Multicategory Proximal Support Vector Machine Classifiers.pdf 418.0 kBVolume 59/#1-2/04 - Maximizing Agreements with One-Sided Error with Applications to Heuristic Learning.pdf 218.7 kBVolume 59/#1-2/05 - Internal Regret in On-Line Portfolio Selection.pdf 165.5 kBVolume 59/#1-2/06 - Logistic Model Trees.pdf 306.9 kBVolume 59/#3/00 - Editorial.pdf 13.9 kBVolume 59/#3/01 - Learning Bayesian Network Classifiers Searching in a Space of Partially Directed Acyclic Graphs.pdf 122.6 kBVolume 59/#3/02 - Latent Classification Models.pdf 189.5 kBVolume 59/#3/03 - On Discriminative Bayesian Network Classifiers and Logistic Regression.pdf 255.9 kBVolume 59/#3/04 - Structural Extension to Logistic Regression Discriminative Parameter Learning of Belief Net Classifiers.pdf 401.6 kBVolume 59/#3/05 - TAN Classifiers Based on Decomposable Distributions.pdf 257.6 kBVolume 60/#1-3/00 - Guest Editors Introduction Machine Learning in Speech and Language Technologies.pdf 31.6 kBVolume 60/#1-3/01 - Support Vector Learning for Semantic Argument Classification.pdf 146.3 kBVolume 60/#1-3/02 - Filtering-Ranking Perceptron Learning for Partial Parsing.pdf 194.1 kBVolume 60/#1-3/03 - Ranking and Reranking with Perceptron.pdf 131.7 kBVolume 60/#1-3/04 - Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification.pdf 121.0 kBVolume 60/#1-3/05 - Moment Kernels for Regular Distributions.pdf 119.4 kBVolume 60/#1-3/06 - Maximum Entropy Modeling A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation.pdf 132.5 kBVolume 60/#1-3/07 - Maximum Entropy Models with Inequality Constraints A Case Study on Text Categorization.pdf 247.6 kBVolume 60/#1-3/08 - A Neural Syntactic Language Model.pdf 211.7 kBVolume 60/#1-3/09 - Combining Statistical Language Models via the Latent Maximum Entropy Principle.pdf 142.0 kBVolume 60/#1-3/10 - Corpus-based Learning of Analogies and Semantic Relations.pdf 212.2 kBVolume 61/#1-3/00 - Incremental Learning of Linear Model Trees.pdf 1.0 MBVolume 61/#1-3/01 - Single-Class Classification with Mapping Convergence.pdf 1.1 MBVolume 61/#1-3/02 - The Synergy Between PAV and AdaBoost.pdf 628.7 kBVolume 61/#1-3/03 - A High Order Cumulants Based Multivariate Nonlinear Blind Source Separation Method.pdf 1.2 MBVolume 61/#1-3/04 - Combined SVM-Based Feature Selection and Classification.pdf 309.7 kBVolume 61/#1-3/05 - A Fast Dual Algorithm for Kernel Logistic Regression.pdf 136.7 kBVolume 61/#1-3/06 - Generalized Low Rank Approximations of Matrices.pdf 613.8 kBVolume 62/#1-2/00 - Introduction to the special issue on multi-relational data mining and statistical relational learning.pdf 43.1 kBVolume 62/#1-2/01 - PRL A probabilistic relational language.pdf 568.7 kBVolume 62/#1-2/02 - Propositionalization-based relational subgroup discovery with RSD.pdf 2.2 MBVolume 62/#1-2/03 - Distribution-based aggregation for relational learning with identifier attributes.pdf 1.8 MBVolume 62/#1-2/04 - Markov logic networks.pdf 1.3 MBVolume 62/#1-2/05 - XRules An effective algorithm for structural classification of XML data.pdf 2.1 MBVolume 62/#3/00 - On Mining Summaries by Objective Measures of Interestingness.pdf 494.3 kBVolume 62/#3/01 - A Unified View on Clustering Binary Data.pdf 204.0 kBVolume 62/#3/02 - Additive Regularization Trade-Off Fusion of Training and Validation Levels in Kernel Methods.pdf 1.5 MBVolume 63/#1/00 - Extremely randomized trees.pdf 2.6 MBVolume 63/#1/01 - Data-guided model combination by decomposition and aggregation.pdf 1.4 MBVolume 63/#1/02 - Model-based transductive learning of the kernel matrix.pdf 790.8 kBVolume 63/#2/00 - Asymptotic analysis of temporal-difference learning algorithms with constant step-sizes.pdf 169.1 kBVolume 63/#2/01 - Classification using Hierarchical Naïve Bayes models.pdf 199.9 kBVolume 63/#2/02 - An algorithmic theory of learning Robust concepts and random projection.pdf 156.1 kBVolume 63/#2/03 - Classification-based objective functions.pdf 879.0 kBVolume 63/#2/04 - Erratum.pdf 28.3 kBVolume 63/#3/00 - Machine learning and games.pdf 94.2 kBVolume 63/#3/01 - Adaptive game AI with dynamic scripting.pdf 555.0 kBVolume 63/#3/02 - Universal parameter optimisation in games based on SPSA.pdf 320.8 kBVolume 63/#3/03 - Learning to bid in bridge.pdf 2.3 MBVolume 63/#3/04 - Learning long-term chess strategies from databases.pdf 154.7 kBVolume 64/#1-3/00 - Foreword.pdf 81.0 kBVolume 64/#1-3/01 - Relational IBL in classical music.pdf 246.8 kBVolume 64/#1-3/02 - Mathematical applications of inductive logic programming.pdf 307.6 kBVolume 64/#1-3/03 - Quantitative pharmacophore models with inductive logic programming.pdf 239.1 kBVolume 64/#1-3/04 - Graph kernels and Gaussian processes for relational reinforcement learning.pdf 329.1 kBVolume 64/#1-3/05 - Complexity parameters for first order classes.pdf 249.6 kBVolume 64/#1-3/06 - Guest editorial.pdf 84.9 kBVolume 64/#1-3/07 - First order random forests Learning relational classifiers with complex aggregates.pdf 301.7 kBVolume 64/#1-3/08 - Randomised restarted search in ILP.pdf 911.6 kBVolume 64/#1-3/09 - Application of abductive ILP to learning metabolic network inhibition from temporal data.pdf 426.7 kBVolume 64/#1-3/10 - Gleaner Creating ensembles of first-order clauses to improve recall-precision curves.pdf 359.6 kBVolume 64/#1-3/11 - Learning goal hierarchies from structured observations and expert annotations.pdf 297.0 kBVolume 65/#1/00 - Semi-supervised model-based document clustering A comparative study.pdf 347.6 kBVolume 65/#1/01 - The max-min hill-climbing Bayesian network structure learning algorithm.pdf 604.8 kBVolume 65/#1/02 - Kernels as features On kernels, margins, and low-dimensional mappings.pdf 187.7 kBVolume 65/#1/03 - Cost curves An improved method for visualizing classifier performance.pdf 476.9 kBVolume 65/#1/04 - MODL A Bayes optimal discretization method for continuous attributes.pdf 605.9 kBVolume 65/#1/05 - Adaptive stepsizes for recursive estimation with applications in approximate dynamic programming.pdf 579.0 kBVolume 65/#1/06 - Learning decomposable markov networks in pseudo-independent domains with local evaluation.pdf 309.6 kBVolume 65/#1/07 - An efficient top-down search algorithm for learning Boolean networks of gene expression.pdf 193.5 kBVolume 65/#1/08 - An analysis of diversity measures.pdf 393.9 kBVolume 65/#1/09 - Training a reciprocal-sigmoid classifier by feature scaling-space.pdf 570.1 kBVolume 65/#1/10 - A suffix tree approach to anti-spam email filtering.pdf 294.5 kBVolume 65/#2-3/00 - Guest editorial Machine learning in and for music.pdf 82.4 kBVolume 65/#2-3/01 - Guest Editorial Machine learning in and for music.pdf 58.9 kBVolume 65/#2-3/02 - Melodic analysis with segment classes.pdf 149.0 kBVolume 65/#2-3/03 - Modeling, analyzing, and synthesizing expressive piano performance with graphical models.pdf 372.0 kBVolume 65/#2-3/04 - Aligning music audio with symbolic scores using a hybrid graphical model.pdf 304.4 kBVolume 65/#2-3/05 - A case based approach to expressivity-aware tempo transformation.pdf 300.2 kBVolume 65/#2-3/06 - Classification-based melody transcription.pdf 386.7 kBVolume 65/#2-3/07 - Bootstrap learning for accurate onset detection.pdf 242.8 kBVolume 65/#2-3/08 - Aggregate features and ADA BOOST for music classification.pdf 216.0 kBVolume 65/#2-3/09 - Using duration models to reduce fragmentation in audio segmentation.pdf 755.6 kBVolume 66/#1/00 - Guest editorial to the special issue on grammatical inference.pdf 101.3 kBVolume 66/#1/01 - LARS A learning algorithm for rewriting systems.pdf 345.8 kBVolume 66/#1/02 - Interactive learning of node selecting tree transducer.pdf 642.8 kBVolume 66/#1/03 - Learning finite-state models for machine translation.pdf 264.5 kBVolume 66/#1/04 - Learning deterministic context free grammars The Omphalos competition.pdf 232.7 kBVolume 66/#2-3/00 - Guest editorial Learning theory.pdf 89.7 kBVolume 66/#2-3/01 - Suboptimal behavior of Bayes and MDL in classification under misspecification.pdf 361.3 kBVolume 66/#2-3/02 - A new PAC bound for intersection-closed concept classes.pdf 223.1 kBVolume 66/#2-3/03 - 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