Atrificial Intelligence Books

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文档大小：3.0 GB
文档个数：216个文档
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文档列表

FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf 125.2 MB
Computer Vision 2d ed - Dand h Ballard.pdf 110.2 MB
Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf 104.0 MB
Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf 101.8 MB
introduction to linear algebra (4th, 2009).pdf 94.3 MB
Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf 71.5 MB
probabilistic graphical models - principles and techniques (2009).pdf 69.4 MB
Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf 61.8 MB
Computer Vision A Modern Approach - Forsyth , Ponce.pdf 52.7 MB
applied linear statistical models (5th, 2004).pdf 52.2 MB
calculus (spivak, 3rd, 1994).pdf 50.7 MB
introduction to evolutionary computing (2003).pdf 47.1 MB
all of statistics - a concise course in statistical inference (2010).pdf 47.1 MB
an introduction to probability theory and applications (vol2, 1971).pdf 44.1 MB
machine learning - an algorithmic perspective (2009).pdf 44.0 MB
Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf 42.4 MB
Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf 39.0 MB
Machine Learning - Tom Mitchell.pdf 38.8 MB
machine learning (1997).pdf 38.8 MB
Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf 38.0 MB
Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf 36.9 MB
an introduction to probability theory and applications (vol1, 3rd, 1968).pdf 36.8 MB
calculus (strang, 1991).pdf 35.2 MB
PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf 33.3 MB
The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf 33.1 MB
godel, escher, bach - an eternal golden braid (1999).pdf 32.8 MB
The handbook of applied expert systems - Jay Liebowitz.pdf 32.7 MB
statistical learning theory (1998).pdf 31.3 MB
Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf 31.2 MB
The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf 28.3 MB
FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf 28.1 MB
fundamentals of matrix computations (2nd, 2002).pdf 26.8 MB
Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf 26.4 MB
Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf 25.9 MB
Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf 25.0 MB
machine learning for hackers (2012).pdf 24.2 MB
Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf 23.8 MB
The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf 23.3 MB
introduction to bayesian statistics (2nd, 2007).pdf 22.9 MB
answer book for calculus 3rd (spivak, 1994).pdf 22.6 MB
Artificial Intelligence Applications and Innovations - Bramer Max.pdf 22.0 MB
a course in probability theory (3rd, 2000).pdf 21.5 MB
Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf 21.1 MB
Computer Vision - Linda Shapiro.pdf 20.5 MB
Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf 20.3 MB
Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf 20.1 MB
speech and language processing (2nd, 2007).pdf 19.8 MB
Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf 19.6 MB
Machine Learning And Its Applications - Georgios Paliouras.pdf 19.2 MB
universal artificial intelligence (2005).pdf 18.4 MB
introduction to probability (bertsekas, 2nd, 2008).pdf 18.2 MB
Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf 17.8 MB
evolving connectionist systems - the knowledge engineering approach (2007).pdf 17.4 MB
Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf 16.1 MB
the quest for AI - a history of ideas and achievements (2010).pdf 16.1 MB
probabilistic robotics (2005).pdf 15.7 MB
practical methods for optimization (2nd, 1987).pdf 15.7 MB
Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf 15.7 MB
bio-inspired artificial intelligence (2008).pdf 15.7 MB
artificial intelligence - a modern approach (3rd, 2009).pdf 15.6 MB
the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf 15.5 MB
Intelligent Communication Systems - Nobuyoshi Terashima.pdf 15.4 MB
introduction to analysis (1985).pdf 14.8 MB
robust statistics (2nd, 2009).pdf 14.5 MB
bayesian reasoning and machine learning (2012).pdf 14.2 MB
introduction to linear optimization (1997).pdf 14.2 MB
pattern recognition (4th, 2008).pdf 13.9 MB
Advances in Applied Artificial Intelligence - John Fulcher.pdf 13.2 MB
data mining - concepts and techniques (3rd, 2011).pdf 13.1 MB
Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf 13.1 MB
Genetic Programming Theory and Practice II - John Koza.pdf 13.1 MB
elements of statistical learning (2008).pdf 12.9 MB
statistics - the exploration and analysis of data (7th, 2010).pdf 12.7 MB
Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf 12.6 MB
Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf 12.5 MB
modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf 12.3 MB
matrix computations (3rd, 1996).pdf 12.1 MB
Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf 12.0 MB
multivariate data analysis (7th, 2009).pdf 11.7 MB
a probabilistic theory of pattern recognition (1996).pdf 11.3 MB
The Handbook of Evolutionary Computation - Kenneth De Jong.pdf 11.1 MB
introduction to machine learning (smola, 2010).pdf 10.8 MB
Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf 10.8 MB
data analysis with open source tools (2010).pdf 10.7 MB
Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf 10.6 MB
doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf 10.4 MB
learning with kernels (2002).pdf 10.3 MB
Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf 10.0 MB
Swarm intelligence - James Kennedy.pdf 9.5 MB
swarm intelligence (2001).pdf 9.5 MB
Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf 9.2 MB
Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf 9.1 MB
Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf 8.7 MB
Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf 8.4 MB
Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf 8.1 MB
Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf 7.6 MB
information theory, inference and learning algorithms (2003).pdf 7.4 MB
Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf 7.3 MB
data mining - practical machine learning tools and techniques (2011).pdf 7.3 MB
an introduction to information retrieval (2009).pdf 6.9 MB
Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf 6.9 MB
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf 6.9 MB
Machine Learning in Computer Vision - N. SEBE.pdf 6.8 MB
Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf 6.8 MB
Building Machine Learning Systems with Python - Second Edition.pdf 6.8 MB
foundations of statistical language processing (1999).pdf 6.6 MB
convex optimization (2004).pdf 6.6 MB
Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf 6.4 MB
Kalman Filtering and Neural Networks - Simon Haykin.pdf 6.2 MB
neural networks for applied sciences and engineering (2006).pdf 6.1 MB
the algorithm design manual (2nd, 2008).pdf 6.1 MB
probability theory - the logic of science (2003).pdf 6.1 MB
Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf 6.1 MB
artificial general intelligence (2007).pdf 6.0 MB
Computational Intelligence In Control - Masoud Mohammadian.pdf 6.0 MB
FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf 5.8 MB
Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf 5.8 MB
prediction, learning, and games (2006).pdf 5.8 MB
Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf 5.6 MB
Genetic programming Complex adaptive systems - Koza J.R..pdf 5.6 MB
Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf 5.5 MB
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf 5.5 MB
Simulating Continuous Fuzzy Systems - James J. Buckley.pdf 5.1 MB
mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf 5.0 MB
Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf 4.9 MB
Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf 4.8 MB
Learning Bayesian Networks - Neapolitan R. E..pdf 4.8 MB
pattern recognition and machine learning (2007).pdf 4.7 MB
Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf 4.7 MB
Pattern Recognition in Speech and Language Processing - WU CHOU.pdf 4.7 MB
schaum's outline of probability, random variables and random processes (1997).pdf 4.6 MB
Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf 4.6 MB
An Introduction to Pattern Recognition - Michael Alder.pdf 4.6 MB
artificial intelligence for games (2nd, 2009).pdf 4.3 MB
reinforcement learning - an introduction (1998).pdf 4.2 MB
artificial intelligence (luger, 6th, 2008).pdf 4.2 MB
Building Expert Systems in Prolog - Dennis Merritt.pdf 4.2 MB
gaussian processes for machine learning (2005).pdf 4.1 MB
matrix algebra - theory, computations, and applications in statistics (2007).pdf 4.0 MB
Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf 4.0 MB
Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf 3.8 MB
Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf 3.8 MB
large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf 3.8 MB
a field guide to genetic programming (2008).pdf 3.8 MB
Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf 3.8 MB
Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf 3.7 MB
introduction to machine learning (alpaydin, 2009).pdf 3.7 MB
FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf 3.7 MB
an introduction to pattern recognition - a matlab approach (2010).pdf 3.5 MB
programming collective intelligence - building smart web 2.0 applications (2007).pdf 3.5 MB
Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf 3.4 MB
numerical optimization (2nd, 2006).pdf 3.4 MB
RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf 3.4 MB
a first look at rigorous probability theory (2nd, 2006).pdf 3.3 MB
kernel methods for pattern analysis (2004).pdf 3.2 MB
Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf 3.2 MB
Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf 3.1 MB
optimization for machine learning (2011).pdf 3.1 MB
An Introduction to Scheme and its Implementation.pdf 3.1 MB
Computational Intelligence For Decision Support - Chen.pdf 3.1 MB
introduction to probability (grinstead and snell, 2006).pdf 3.0 MB
how to prove it - a structured approach (2nd, 2006).pdf 2.7 MB
ensemble methods in data mining (2010).pdf 2.7 MB
Introduction to Machine Learning - Nils J Nilsson.pdf 2.7 MB
ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf 2.7 MB
Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf 2.7 MB
Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf 2.6 MB
statistics in plain english (3rd, 2010).pdf 2.6 MB
Artificial Neural Networks - Colin Fyfe.pdf 2.6 MB
Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf 2.6 MB
Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf 2.6 MB
Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf 2.5 MB
C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf 2.5 MB
knowledge representation and reasoning (2004).pdf 2.4 MB
Fundamentals of Computer Vision - Mubarak Shah.pdf 2.3 MB
all of nonparametric statistics (2010).pdf 2.3 MB
an introduction to generalized linear models (2nd, 2001).pdf 2.2 MB
Machine Learning, Game Play, and Go - David Stoutamire.pdf 2.1 MB
Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf 2.0 MB
ant colony optimization (2004).pdf 2.0 MB
Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf 2.0 MB
Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf 1.8 MB
Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf 1.8 MB
Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf 1.8 MB
Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf 1.8 MB
Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf 1.8 MB
Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf 1.7 MB
Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf 1.7 MB
Programming Neural Networks in Java - JeffHeaton.pdf 1.7 MB
COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf 1.7 MB
Statistical Machine Learning For Information Retrieval - Adam Berger.pdf 1.5 MB
Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf 1.4 MB
Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf 1.3 MB
Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf 1.3 MB
An Introduction to Neural Networks - Patrick van der Smagt.pdf 1.3 MB
Practical Artificial Intelligence Programming in Java - Mark Watson.pdf 1.3 MB
A Practical Theory of Programming - Eric C.R. Hehner.pdf 1.2 MB
Artificial Intelligence Through Prolog - Neil C Rowe.pdf 1.2 MB
Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf 1.1 MB
learning deep architectures for AI (2009).pdf 1.1 MB
PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf 1.1 MB
On LISP Advanced Techniques for Common LISP - Paul Graham.pdf 1.1 MB
Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf 1.1 MB
An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf 1.1 MB
Adventure in Prolog - Amzi.pdf 921.8 kB
pattern recognition and machine learning solutions.pdf 904.3 kB
The International Dictionary Of Artificial Intelligence - William Raynor.pdf 832.9 kB
Writing GNU Emacs Extensions - Bob Glickstein.pdf 713.2 kB
Prolog Programming A First Course - Paul Brna.pdf 651.1 kB
introduction to linear algebra solution manual.pdf 604.5 kB
Basic Lisp Techniques - David J. Cooper.pdf 592.1 kB
matrix cookbook.pdf 534.7 kB
lisp book - Gary D. Knott.pdf 472.3 kB
elements of statistical learning sol1.pdf 145.4 kB
elements of statistical learning sol2.pdf 69.3 kB
How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf 12.9 kB

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