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种子名称： Artificial intelligence and machine learning
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文件数目： 216个文件
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Artificial intelligence and machine learning.torrent

FUZZY SETS AND FUZZY LOGIC Theory and Applications - GEORGE J. KLIR , BO YUAN.pdf119.35MB

Computer Vision 2d ed - Dand h Ballard.pdf105.12MB

Multiple View Geometry in Computer Vision 2ed - Hartley R., Zisserman A.pdf99.16MB

Handbook Of Mathematical Models In Computer Vision - Nikos Paragios.pdf97.09MB

introduction to linear algebra (4th, 2009).pdf89.94MB

Learning And Soft Computing - Support Vector Machines, Neural Networks, And Fuzzy Logic Models - Vojislav Kecman.pdf68.2MB

probabilistic graphical models - principles and techniques (2009).pdf66.17MB

Artificial Intelligence, Structures And Strategies For Complex Problem Solving 3rd ed - George F Luger.pdf58.9MB

Computer Vision A Modern Approach - Forsyth , Ponce.pdf50.29MB

applied linear statistical models (5th, 2004).pdf49.8MB

calculus (spivak, 3rd, 1994).pdf48.37MB

introduction to evolutionary computing (2003).pdf44.95MB

all of statistics - a concise course in statistical inference (2010).pdf44.94MB

an introduction to probability theory and applications (vol2, 1971).pdf42.09MB

machine learning - an algorithmic perspective (2009).pdf41.92MB

Neural Networks - A Comprehensive Foundation - Simon Haykin.pdf40.42MB

Pattern recognition and image preprocessing 2nd ed -Sing T. Bow.pdf37.15MB

Machine Learning - Tom Mitchell.pdf37MB

machine learning (1997).pdf37MB

Artificial Intelligence A Modern Approach - Stuart J. Russell , Peter Norvig.pdf36.23MB

Computational Web Intelligence Intelligent Technology for Web Applications - Y.-Q. Zhang.pdf35.23MB

an introduction to probability theory and applications (vol1, 3rd, 1968).pdf35.11MB

calculus (strang, 1991).pdf33.53MB

PROLOG PROGRAMMING FOR ARTIFICIAL INTELLIGENCE - lvan Bratko.pdf31.72MB

The Handbook Of Brain Theory And Neural Networks 2Nd Ed - Michael A Arbib.pdf31.6MB

godel, escher, bach - an eternal golden braid (1999).pdf31.29MB

The handbook of applied expert systems - Jay Liebowitz.pdf31.17MB

statistical learning theory (1998).pdf29.82MB

Handbook of Computer Vision and Applications Volume 3 Systems and Applications - Bernd Jahne.pdf29.77MB

The Elements of Artificial Intelligence Using Lisp - Steven L. Tanimoto.pdf27MB

FLEXIBLE NEURO-FUZZY SYSTEMS Structures, Learning and Performance Evaluation - Leszek Rutkowski.pdf26.81MB

fundamentals of matrix computations (2nd, 2002).pdf25.59MB

Methods And Applications Of Artificial Intelligence - Themistoklis Panayiotopoulos.pdf25.19MB

Artificial Intelligence Today Recent Trends and Development - Manuela Veloso.pdf24.67MB

Static and Dynamic Neural Networks From Fundamentals to Advanced Theory - Madan M. Gupta, Liang Jin, Noriyasu Homma.pdf23.81MB

machine learning for hackers (2012).pdf23.08MB

Computer Vision and Applications A Guide for Students and Practitioners - Bernd Jahne.pdf22.67MB

The Art of Prolog 2nd Ed - Leon Sterling , Ehud Shapiro.pdf22.27MB

introduction to bayesian statistics (2nd, 2007).pdf21.85MB

answer book for calculus 3rd (spivak, 1994).pdf21.53MB

Artificial Intelligence Applications and Innovations - Bramer Max.pdf20.98MB

a course in probability theory (3rd, 2000).pdf20.47MB

Machine Learning, Neural And Statistical Classification - Michie , Spiegelhalter , Taylor.pdf20.11MB

Computer Vision - Linda Shapiro.pdf19.5MB

Methods and Procedures for the Verification and Validation of Artificial Neural Networks - Brian J. Taylor.pdf19.39MB

Advances in Artificial Intelligence – SBIA 2004 - Ana L.C. Bazzan , Sofiane Labidi.pdf19.18MB

speech and language processing (2nd, 2007).pdf18.89MB

Handbook of Computer Vision and Applications Volume 2 Signal Processing and Pattern Recognition - - Bernd Jahne.pdf18.73MB

Machine Learning And Its Applications - Georgios Paliouras.pdf18.29MB

universal artificial intelligence (2005).pdf17.52MB

introduction to probability (bertsekas, 2nd, 2008).pdf17.37MB

Computational Intelligence An Introduction - Andries P. Engelbrecht.pdf16.96MB

evolving connectionist systems - the knowledge engineering approach (2007).pdf16.63MB

Evolutionary Synthesis of Pattern Recognition Systems - Bir Bhanu.pdf15.35MB

the quest for AI - a history of ideas and achievements (2010).pdf15.32MB

probabilistic robotics (2005).pdf15.01MB

practical methods for optimization (2nd, 1987).pdf14.98MB

Handbook of Computer Vision and Applications Volume 1 Sensors and Imaging - Bernd Jahne.pdf14.97MB

bio-inspired artificial intelligence (2008).pdf14.93MB

artificial intelligence - a modern approach (3rd, 2009).pdf14.85MB

the art of artificial evolution - a handbook on evolutionary art and music (2007).pdf14.82MB

Intelligent Communication Systems - Nobuyoshi Terashima.pdf14.69MB

introduction to analysis (1985).pdf14.11MB

robust statistics (2nd, 2009).pdf13.78MB

bayesian reasoning and machine learning (2012).pdf13.58MB

introduction to linear optimization (1997).pdf13.54MB

pattern recognition (4th, 2008).pdf13.23MB

Advances in Applied Artificial Intelligence - John Fulcher.pdf12.58MB

data mining - concepts and techniques (3rd, 2011).pdf12.53MB

Introduction to Statistical Pattern Recognition 2nd Ed - Keinosuke Fukunaga.pdf12.5MB

Genetic Programming Theory and Practice II - John Koza.pdf12.49MB

elements of statistical learning (2008).pdf12.33MB

statistics - the exploration and analysis of data (7th, 2010).pdf12.15MB

Computational Intelligence in Manufacturing Handbook - Jun Wang.pdf12.03MB

Analysis And Applications Of Artificial Neural Networks - LPG Veelenturf.pdf11.95MB

modern multivariate statistical techniques - regression, classification and manifold learning (2008).pdf11.77MB

matrix computations (3rd, 1996).pdf11.56MB

Intelligent Control Systems Using Soft Computing Methodologies - Ali Zilouchian.pdf11.48MB

multivariate data analysis (7th, 2009).pdf11.11MB

a probabilistic theory of pattern recognition (1996).pdf10.78MB

The Handbook of Evolutionary Computation - Kenneth De Jong.pdf10.62MB

introduction to machine learning (smola, 2010).pdf10.31MB

Handbook of Computer Vision Algorithms in Image Algebra, 2nd Ed - Gerhard X. Ritter.pdf10.31MB

data analysis with open source tools (2010).pdf10.16MB

Neural Networks Algorithms, Applications,and Programming Techniques - James A. Freeman.pdf10.11MB

doing bayesian data analysis - a tutorial with R and BUGS (2010).pdf9.91MB

learning with kernels (2002).pdf9.81MB

Fuzzy Sets And Systems Theory And Applications - Didier Dubois , Henri Prade.pdf9.52MB

Swarm intelligence - James Kennedy.pdf9.02MB

swarm intelligence (2001).pdf9.02MB

Artificial Neural Networks in Real-life Applications - Juan R. Rabunal.pdf8.78MB

Artificial Intelligence and Soft Computing Behavioral and Cognitive Modeling of the Human Brain - Konar Amit.pdf8.65MB

Evolutionary Computation for Modeling and Optimization - Daniel Ashlock.pdf8.26MB

Intelligent Systems Fusion, Tracking, and Control - GeeWah Ng.pdf8.02MB

Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufmann.pdf7.76MB

Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann.pdf7.24MB

information theory, inference and learning algorithms (2003).pdf7.06MB

Vision with Direction A Systematic Introduction to Image Processing and Computer Vision - Josef Bigun.pdf7MB

data mining - practical machine learning tools and techniques (2011).pdf6.94MB

an introduction to information retrieval (2009).pdf6.58MB

Fusion Of Neural Networks, Fuzzy Systems And Genetic Algorithms - Lakhmi C. Jain , N.M. Martin.pdf6.55MB

Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Industrial Applications - Lakhmi C. Jain , N.M. Martin.pdf6.55MB

Machine Learning in Computer Vision - N. SEBE.pdf6.51MB

Foundations of Statistical Natural Language Processing - Christopher D. Manning.pdf6.51MB

Building Machine Learning Systems with Python - Second Edition.pdf6.49MB

foundations of statistical language processing (1999).pdf6.34MB

convex optimization (2004).pdf6.32MB

Computer Modeling and Simulation Techniques for Computer Vision Problems - Ming-Chin Lu.pdf6.09MB

Kalman Filtering and Neural Networks - Simon Haykin.pdf5.87MB

neural networks for applied sciences and engineering (2006).pdf5.86MB

the algorithm design manual (2nd, 2008).pdf5.85MB

probability theory - the logic of science (2003).pdf5.81MB

Fuzzy Sets And Fuzzy Information Granulation Theory - lotfi Zadeh.pdf5.78MB

artificial general intelligence (2007).pdf5.7MB

Computational Intelligence In Control - Masoud Mohammadian.pdf5.69MB

FRONTIERS OF EVOLUTIONARY COMPUTATION - Anil Menon.pdf5.56MB

Recurrent Neural Networks Design And Applications - L.R. Medsker.pdf5.56MB

prediction, learning, and games (2006).pdf5.53MB

Fuzzy Control Systems Design and Analysis A Linear Matrix Inequality Approach - Kazuo Tanaka, Hua O. Wang.pdf5.37MB

Genetic programming Complex adaptive systems - Koza J.R..pdf5.34MB

Intelligent Information Integration for the Semantic Web - Ubbo Visser.pdf5.27MB

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering - Nikola Kazabov.pdf5.22MB

Simulating Continuous Fuzzy Systems - James J. Buckley.pdf4.89MB

mining the social web - analyzing data from facebook, twitter, linkedin and other social media sites (2011).pdf4.81MB

Multiagent systems a modern approach to distributed artificial intelligence - Gerhard Weiss.pdf4.63MB

Particle Swarm Optimization Methods for Pattern Recognition and Image Processing - Mahamed G. H. Omran.pdf4.59MB

Learning Bayesian Networks - Neapolitan R. E..pdf4.58MB

pattern recognition and machine learning (2007).pdf4.52MB

Data Mining with Computational Intelligence - Lipo Wang , Xiuju Fu.pdf4.5MB

Pattern Recognition in Speech and Language Processing - WU CHOU.pdf4.43MB

schaum's outline of probability, random variables and random processes (1997).pdf4.43MB

Common Lisp the Language, 2nd Edition - Guy L. Steele.pdf4.42MB

An Introduction to Pattern Recognition - Michael Alder.pdf4.38MB

artificial intelligence for games (2nd, 2009).pdf4.09MB

reinforcement learning - an introduction (1998).pdf4.04MB

artificial intelligence (luger, 6th, 2008).pdf4.03MB

Building Expert Systems in Prolog - Dennis Merritt.pdf3.98MB

gaussian processes for machine learning (2005).pdf3.86MB

matrix algebra - theory, computations, and applications in statistics (2007).pdf3.83MB

Feature Extraction in Computer Vision and Image Processing - Mark S. Nixon.pdf3.82MB

Artificial Intelligence and Expert Systems for Engineers - Krishnamoorthy , S. Rajeev.pdf3.65MB

Foundations Of Soft Case-based Reasoning - SANKAR K. PAL.pdf3.65MB

large-scale inference - empirical bayes methods for estimation, testing, and prediction (2010).pdf3.63MB

a field guide to genetic programming (2008).pdf3.59MB

Reinforcement Learning An Introduction - Richard S. Sutton , Andrew G. Barto.pdf3.59MB

Fuzzy Expert Systems and Fuzzy Reasoning - William Siler.pdf3.55MB

introduction to machine learning (alpaydin, 2009).pdf3.52MB

FUZZY SETS AND THEIR APPLICATIONS TO COGNITIVE AND DECISION PROCESSES - Lotfi A. Zadeh , King-Sun Fu.pdf3.51MB

an introduction to pattern recognition - a matlab approach (2010).pdf3.35MB

programming collective intelligence - building smart web 2.0 applications (2007).pdf3.3MB

Ontological Semantics - Sergei Nirenburg , Victor Raskin.pdf3.28MB

numerical optimization (2nd, 2006).pdf3.25MB

RECENT ADVANCES IN ARTIFICIAL NEURAL NETWORKS Design and Applications - Lakhmi Jain.pdf3.22MB

a first look at rigorous probability theory (2nd, 2006).pdf3.12MB

kernel methods for pattern analysis (2004).pdf3.02MB

Intelligent Systems for Engineers and Scientists 2d ed - Adrian A. Hopgood.pdf3.01MB

Statistical Pattern Recognition 2nd Ed - Andrew R. Webb.pdf2.99MB

optimization for machine learning (2011).pdf2.98MB

An Introduction to Scheme and its Implementation.pdf2.94MB

Computational Intelligence For Decision Support - Chen.pdf2.93MB

introduction to probability (grinstead and snell, 2006).pdf2.85MB

how to prove it - a structured approach (2nd, 2006).pdf2.6MB

ensemble methods in data mining (2010).pdf2.6MB

Introduction to Machine Learning - Nils J Nilsson.pdf2.57MB

ARTIFICIAL INTELLIGENCE and SOFTWARE ENGINEERING Understanding the Promise of the Future - Derek Partridge.pdf2.56MB

Simply Scheme Introducing Computer Science 2d ed - Brian Harvey , Matthew Wright.pdf2.54MB

Common Lisp - An Interactive Approach - STUART C. SHAPIRO.pdf2.52MB

statistics in plain english (3rd, 2010).pdf2.49MB

Artificial Neural Networks - Colin Fyfe.pdf2.48MB

Concrete Abstractions An Introduction to Computer Science Using Scheme - Max Hailperin, Barbara Kaiser, and Karl Knight.pdf2.47MB

Knowledge representation reasoning and declarative problem solving with Answer sets - Chitta Baral.pdf2.46MB

Essentials of Programming Languages 2d ed - Daniel P. FriedmanMitchell WandChristopher T. Haynes.pdf2.38MB

C++ Neural Networks and Fuzzy Logic - Valluru B. Rao.pdf2.37MB

knowledge representation and reasoning (2004).pdf2.29MB

Fundamentals of Computer Vision - Mubarak Shah.pdf2.23MB

all of nonparametric statistics (2010).pdf2.18MB

an introduction to generalized linear models (2nd, 2001).pdf2.07MB

Machine Learning, Game Play, and Go - David Stoutamire.pdf1.99MB

Logic, Programming and Prolog 2d ed - Ulf Nilsson , Jan Maluszynski.pdf1.91MB

ant colony optimization (2004).pdf1.88MB

Data Mining Using Grammar Based Genetic Programming and Applications - Wong, Cheung.pdf1.87MB

Dynamic Bayesian Networks Representation, Inference And Learning - Kevin Patrick Murphy.pdf1.75MB

Agent-Oriented Programming - From Prolog to Guarded Definite Clauses - Matthew M. Huntbach.pdf1.73MB

Artificial Intelligence Strategies, Applications, and Models Through Search 2d ed - Christopher Thornton.pdf1.73MB

Successful Lisp How to Understand and Use Common Lisp - David B. Lamkins.pdf1.73MB

Machine Learning, Neural And Statistical Classification - Cc Taylor.pdf1.72MB

Learn Prolog Now! - Patrick Blackburn, Johan Bos , Kristina Striegnitz.pdf1.63MB

Formal Syntax and Semantics of Programming Languages - Kenneth Slonneger.pdf1.62MB

Programming Neural Networks in Java - JeffHeaton.pdf1.6MB

COMPUTATIONAL LINGUISTICSModels, Resources, Applications - Igor A. Bolshakov , Alexander Gelbukh.pdf1.58MB

Statistical Machine Learning For Information Retrieval - Adam Berger.pdf1.39MB

Fuzzy Logic in Embedded Microcomputers and Control Systems - Walter Banks.pdf1.38MB

Natural Language Processing for Online Applications Text Retrieval,Extraction and Categorization - Peter Jackson , Isabelle Moulinier.pdf1.28MB

Teach Yourself Scheme in Fixnum Days - Dorai Sitaram.pdf1.28MB

An Introduction to Neural Networks - Patrick van der Smagt.pdf1.26MB

Practical Artificial Intelligence Programming in Java - Mark Watson.pdf1.22MB

A Practical Theory of Programming - Eric C.R. Hehner.pdf1.12MB

Artificial Intelligence Through Prolog - Neil C Rowe.pdf1.12MB

Common Lisp - A Gentle Introduction To Symbolic Computation - David S. Touretzky.pdf1.09MB

learning deep architectures for AI (2009).pdf1.08MB

PROBLEM SOLVING WITH REINFORCEMENT LEARNING - Gavin Adrian Rummery.pdf1.08MB

On LISP Advanced Techniques for Common LISP - Paul Graham.pdf1.06MB

Prolog and Natural Language Analysis - Fernando C. N. Pereira , Stuart M. Shieber.pdf1.06MB

An Introduction To Programming In Emacs Lisp, 2Nd Ed - Robert J. Chassell.pdf1.01MB

Adventure in Prolog - Amzi.pdf900.17KB

pattern recognition and machine learning solutions.pdf883.14KB

The International Dictionary Of Artificial Intelligence - William Raynor.pdf813.4KB

Writing GNU Emacs Extensions - Bob Glickstein.pdf696.52KB

Prolog Programming A First Course - Paul Brna.pdf635.8KB

introduction to linear algebra solution manual.pdf590.31KB

Basic Lisp Techniques - David J. Cooper.pdf578.24KB

matrix cookbook.pdf522.2KB

lisp book - Gary D. Knott.pdf461.24KB

elements of statistical learning sol1.pdf141.95KB

elements of statistical learning sol2.pdf67.68KB

How to Design Programs An Introduction to Computing and Programming - Matthias Felleisen.pdf12.64KB