Artificial Intelligence Books

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Artificial Intelligence Books

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文件列表

  • 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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