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books tagged “machine learning”
English
- Adaptation in Natural and Artificial Systems: An Introductory Analysis With Applications to Biology, Control, and Artificial Intelligence
by John H. Holland
Softcover, Bradford Books, ISBN 0262581116 (0-262-58111-6) - Advances in Kernel Methods : Support Vector Learning
by Bernhard Schölkopf, Christopher J. Burges, Alexander J. Smola
Hardcover, MIT Press, ISBN 0262194163 (0-262-19416-3) - Advances in Large-Margin Classifiers
by Alexander J. Smola, Bernhard Scholkopf, Peter J. Bartlett, Dale Schuurmans
Hardcover, Mit Pr, ISBN 0262194481 (0-262-19448-1) - Advances in Neural Information Processing Systems 12: Proceedings of the 1999 Conference
by Klaus-Robert Muller, Todd K. Leen, Sara A. Solla
Hardcover, Mit Pr, ISBN 0262194503 (0-262-19450-3) - Advances In Neural Information Processing Systems 16: Proceedings Of The 2003 Conference
by Sebastian Thrun, Bernhard Scholkopf, LAWRENCE K. SAUL
Hardcover, Mit Pr, ISBN 0262201526 (0-262-20152-6) - Advances in Neural Information Processing Systems 18: Proceedings of the 2005 Conference
by Bernhard Scholkopf, Yair Weiss, John C. Platt
Hardcover, Mit Pr, ISBN 0262232537 (0-262-23253-7) - Artificial Intelligence: A Modern Approach
by Stuart J. Russell, Peter Norvig
Hardcover, Prentice Hall, ISBN 0137903952 (0-13-790395-2)More editions of Artificial Intelligence: A Modern Approach: -
Artificial Intelligence: Theory and Practice
by James Allen, Thomas Dean, Yiannis Aloimonos
Hardcover, Addison-Wesley, ISBN 0805325476 (0-8053-2547-6) - Bayesian Learning for Neural Networks
by Radford M. Neal
Softcover, Springer Verlag, ISBN 0387947248 (0-387-94724-8) - Bioinformatics: The Machine Learning Approach
by Pierre Baldi, Sren Brunak
Hardcover, Mit Pr, ISBN 026202442X (0-262-02442-X) - Bioinformatics: The Machine Learning Approach
by Soren Brunak, Pierre Baldi
Hardcover, Bradford Books, ISBN 026202506X (0-262-02506-X) - Blondie24: Playing at the Edge of Ai
by David B. Fogel
Softcover, Morgan Kaufmann Pub, ISBN 1558607838 (1-55860-783-8) - C4.5: Programs for Machine Learning
by J. R. Quinlan
Softcover, Morgan Kaufmann Pub, ISBN 1558602380 (1-55860-238-0) - Classification and Regression Trees
by Leo Breiman
Softcover, Chapman & Hall, ISBN 0412048418 (0-412-04841-8)More editions of Classification and Regression Trees: - Computational Learning Theory: An Introduction
by Martin Anthony, Norman Biggs
Hardcover, Cambridge Univ Pr, ISBN 0521416035 (0-521-41603-5) - Computational Learning Theory and Natural Learning Systems: Intersections Between Theory and Experiment
by Stephen J. Hanson
Softcover, Mit Pr, ISBN 0262581337 (0-262-58133-7) - Data Mining And Predictive Analysis: Intelligence Gathering And Crime Analysis
by COLLEEN MCCUE
Softcover, Butterworth-Heinemann, ISBN 0750677961 (0-7506-7796-1) -
Data Mining: Practical Machine Learning Tools And Techniques
by Ian H. Witten, Eibe Frank
Softcover, Morgan Kaufmann Pub, ISBN 0120884070 (0-12-088407-0) -
Data Mining: Practical Machine Learning Tools and Techniques With Java Implementations
by Eibe Frank, I.H. Witten
Softcover, Morgan Kaufmann Pub, ISBN 1558605525 (1-55860-552-5) - Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
by Berry, Gordon S. Linoff
Softcover, John Wiley & Sons Inc, ISBN 0471470643 (0-471-47064-3) - Data Mining Techniques: For Marketing, Sales, and Customer Support
by Gordon Linoff, Michael J. A. Berry
Softcover, John Wiley & Sons Inc, ISBN 0471179809 (0-471-17980-9) - The Dreams of Reason: The Computer and the Rise of the Sciences of Complexity
by Heinz R. Pagels
Softcover, Bantam Dell Pub Group, ISBN 0553347101 (0-553-34710-1)More editions of The Dreams of Reason: The Computer and the Rise of the Sciences of Complexity: -
Elements of Machine Learning
by Pat Langley, Michael B. Morgan
Softcover, Elsevier Science Ltd, ISBN 1558603018 (1-55860-301-8) - Elements of Pattern Theory
by Ulf Grenander
Softcover, Johns Hopkins Univ Pr, ISBN 0801851882 (0-8018-5188-2) -
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by Jerome H. Friedman, Trevor Hastie, Robert Tibshirani
Hardcover, Springer Verlag, ISBN 0387952845 (0-387-95284-5) - Evolution, Games and Learning: Models for Adaptation in Machines and Nature Proceedings of the Fifth Annual International Conference of the Center
by Doyne Farmer, Alan Lapedes, Norman Packard, Burton Wendroff
Hardcover, Elsevier Science Ltd, ISBN 0444870318 (0-444-87031-8) -
Evolutionary Robotics: The Biology, Intelligence, and Technology of Self-Organizing Machines
by Dario Floreano, Stefano Nolfi
Softcover, Mit Pr, ISBN 0262640562 (0-262-64056-2) - From Statistical Physics to Statistical Inference and Back
by Peter Grassberger, Jean-Pierre Nadal
Hardcover, Kluwer Academic Pub, ISBN 0792327756 (0-7923-2775-6) - Graphical Models: Foundations of Neural Computation
by Terrence J. Sejnowski, Michael Irwin Jordan
Softcover, Mit Pr, ISBN 0262600420 (0-262-60042-0) - The Handbook of Brain Theory and Neural Networks
by Michael A. Arbib
Softcover, Mit Pr, ISBN 0262511029 (0-262-51102-9) - Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction
by Gerhard Winkler
Hardcover, Springer Verlag, ISBN 0387570691 (0-387-57069-1)More editions of Image Analysis, Random Fields and Dynamic Monte Carlo Methods: A Mathematical Introduction: -
Independent Component Analysis
by Erkki Oja, Aapo Hyvarinen, Juha Karhunen
Hardcover, Wiley-Interscience, ISBN 047140540X (0-471-40540-X) - Independent Component Analysis: A Tutorial Introduction
by James V. Stone
Softcover, Mit Pr, ISBN 0262693151 (0-262-69315-1) - Induction: Processes of Inference, Learning and Discovery
by Keith J. Holyoak, John H. Holland
Softcover, Mit Pr, ISBN 0262580969 (0-262-58096-9) - Information Theory, Inference and Learning Algorithms
by David MacKay
Hardcover, Cambridge Univ Pr, ISBN 0521642981 (0-521-64298-1) - The Interpretation of Analytical Chemical Data by the Use of Cluster Analysis
by Desire L. Massart
Hardcover, Krieger Pub Co, ISBN 0894643584 (0-89464-358-4) -
An Introduction to Computational Learning Theory
by Michael J. Kearns, Umesh V. Vazirani
Hardcover, Mit Pr, ISBN 0262111934 (0-262-11193-4) - An Introduction to Genetic Algorithms
by Melanie Michell
Softcover, Bradford Books, ISBN 0262631857 (0-262-63185-7) - Introduction To Machine Learning
by Ethem Alpaydin
Hardcover, Mit Pr, ISBN 0262012111 (0-262-01211-1) - Introduction to Machine Learning
by Yves Kodratoff
Softcover, Elsevier Science & Technology Books, ISBN 155860037X (1-55860-037-X) - An Introduction to Natural Computation
by Dana H. Ballard
Softcover, Bradford Books, ISBN 0262522586 (0-262-52258-6)More editions of An Introduction to Natural Computation: - An Introduction to Support Vector Machines: And Other Kernel-Based Learning Methods
by John Shawe-Taylor, Nello Cristianini
Hardcover, Cambridge Univ Pr, ISBN 0521780195 (0-521-78019-5) - Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, And Unsupervised Learning
by Vojislav Kecman, Te-ming Huang, Ivica Kopriva
Hardcover, Springer Verlag, ISBN 3540316817 (3-540-31681-7) - Kernel Methods for Pattern Analysis
by John Shawe-Taylor, Nello Cristianini
Hardcover, Cambridge Univ Pr, ISBN 0521813972 (0-521-81397-2) - Learning in Graphical Models
by North Atlantic Treaty Organization Scientific Affairs Division, Michael Irwin Jordan
Hardcover, Kluwer Academic Print on Demand, ISBN 0792350170 (0-7923-5017-0) - Learning in Graphical Models
by Michael Irwin Jordan
Softcover, Mit Pr, ISBN 0262600323 (0-262-60032-3) -
Learning With Kernels: Support Vector Machines, Regularization, Optimization and Beyond
by Alexander J. Smola, Bernhard Scholkopf
Hardcover, Mit Pr, ISBN 0262194759 (0-262-19475-9) - Linear Regression Analysis
by Alan J. Lee, G.A.F. Seber
Hardcover, Wiley-Interscience, ISBN 0471415405 (0-471-41540-5) - Machine Learning
by Tom M. Mitchell
Hardcover, McGraw-Hill Science Engineering, ISBN 0070428077 (0-07-042807-7) - Machine Learning & Data Mining: Methods & Applications
by Ivan Bratko, Ryszard S. Michalski, Miroslav Kubat
Hardcover, John Wiley & Son Ltd, ISBN 0471971995 (0-471-97199-5) - Machine Learning: An Artificial Intelligence Approach
by R.S. Michalski
Hardcover, Morgan Kaufmann Pub, ISBN 0934613095 (0-934613-09-5) - Machine Learning and Statistics: The Interface
by European Conference on Machine Learning (1994 Catania, Italy), C.C. Taylor, G. Nakhaeizadeh
Hardcover, John Wiley & Sons Inc, ISBN 0471148903 (0-471-14890-3) - Machine Learning: Neural Networks, Genetic Algorithms, and Fuzzy Systems
by Hojjat Adeli, Shih-Lin Hung
Hardcover, John Wiley & Sons Inc, ISBN 0471016330 (0-471-01633-0) - Mastering Data Mining: Art and Science of Customer Relationship Management
by Gordon Linoff, Michael J. A. Berry
Softcover, John Wiley & Sons Inc, ISBN 0471331236 (0-471-33123-6) -
Mining the Web: Discovering Knowledge from Hypertext Data
by Soumen Chakrabarti
Hardcover, Morgan Kaufmann Pub, ISBN 1558607544 (1-55860-754-4) -
Modeling the Internet and the Web : Probabilistic Methods and Algorithms
by Pierre Baldi, Paolo Frasconi, Padhraic Smyth
Hardcover, Wiley & Sons, Incorporated, John, ISBN 0470849061 (0-470-84906-1) -
Naturally Intelligent Systems
by Maureen Caudill, Charles Butler
Softcover, Mit Pr, ISBN 0262531135 (0-262-53113-5) - The Nature of Statistical Learning Theory
by Vladimir N. Vapnik
Hardcover, Springer Verlag, ISBN 0387987800 (0-387-98780-0) - Neural Networks for Pattern Recognition
by Christopher M. Bishop
Softcover, Oxford Univ Pr, ISBN 0198538642 (0-19-853864-2)More editions of Neural Networks for Pattern Recognition: - Neural Networks for Statistical Modeling
by Murray Smith
Softcover, Cengage Learning, ISBN 0442013108 (0-442-01310-8) -
On-Line Learning in Neural Networks
by David Saad
Hardcover, Cambridge Univ Pr, ISBN 0521652634 (0-521-65263-4) - Parallelism and Programming in Classifier Systems
by Stephanie Forrest
Softcover, Morgan Kaufmann Pub, ISBN 1558601074 (1-55860-107-4) - Pattern Classification
by David G. Stork, Richard O. Duda, Peter E. Hart
Hardcover, Wiley-Interscience, ISBN 0471056693 (0-471-05669-3) - Pattern Classification and Scene Analysis
by Richard O. Duda, Peter E. Hart
Hardcover, John Wiley & Sons Inc, ISBN 0471223611 (0-471-22361-1) - Pattern Classification: Computer Manual
by David G. Stork, Elad Yom-Tov
Softcover, Wiley-Interscience, ISBN 0471429775 (0-471-42977-5) - Pattern Recognition and Machine Learning
by Christopher M. Bishop
Hardcover, Springer London, Limited, ISBN 0387310738 (0-387-31073-8) - Pattern Recognition and Neural Networks
by Brian D. Ripley
Hardcover, Cambridge Univ Pr, ISBN 0521460867 (0-521-46086-7) - Perceptrons : An Introduction to Computational Geometry
by Marvin L. Minsky, Seymour A. Papert
Softcover, MIT Press, ISBN 0262631113 (0-262-63111-3) -
Prediction, Learning, And Games
by Gabor Lugosi, Nicolo Cesa-Bianchi
Hardcover, Cambridge Univ Pr, ISBN 0521841089 (0-521-84108-9) - Predictive Data Mining: A Practical Guide
by Sholom M. Weiss, Nitin Indurkhya
Softcover, Morgan Kaufmann Pub, ISBN 1558604030 (1-55860-403-0) - Predictive Data Mining: Web Site Access
by Sholom M. Weiss
Softcover, Elsevier Science Ltd, ISBN 1558604774 (1-55860-477-4) - The Predictors
by Thomas A. Bass
Softcover, Henry Holt & Co, ISBN 0805057579 (0-8050-5757-9) - The Predictors : How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street
by Thomas A. Bass
Hardcover, Holt & Company, Henry, ISBN 0805057560 (0-8050-5756-0) - Presa / Prey
by Michael Crichton
Softcover, Random House Mondadori, ISBN 9875660280 (987-566-028-0) -
Principles of Data Mining
by Padhraic Smyth, D. J. Hand, Heikki Mannila
Hardcover, Bradford Books, ISBN 026208290X (0-262-08290-X) - Principles of Neural Model Identification, Selection and Adequacy: With Applications in Financial Econometrics
by Apostolos-Paul Refenes, A. D. Zapranis
Softcover, Springer Verlag, ISBN 1852331399 (1-85233-139-9) - A Probabilistic Theory of Pattern Recognition
by Luc Devroye, Laszlo Gyorfi, Gabor Lugosi
Hardcover, Springer Verlag, ISBN 0387946187 (0-387-94618-7) -
Readings in Machine Learning
by Jude W. Shavlik, Thomas G. Dietterich
Softcover, Elsevier Science Ltd, ISBN 1558601430 (1-55860-143-0) - Reinforcement Learning: An Introduction
by Richard S. Sutton, Andrew G. Barto
Hardcover, Bradford Books, ISBN 0262193981 (0-262-19398-1) - Self-Organizing Map Formation: Foundations of Neural Computation
by Terrence J. Sejnowski, Klaus Obermayer
Softcover, Mit Pr, ISBN 0262650606 (0-262-65060-6) - Statistical Language Learning
by Eugene Charniak
Softcover, Bradford Books, ISBN 0262531410 (0-262-53141-0) -
Statistical Learning Theory
by Valdimir N. Vapnik
Hardcover, Wiley-Interscience, ISBN 0471030031 (0-471-03003-1) - Statistical Mechanics of Learning
by A. Engel, C. Van Den Broeck
Softcover, Cambridge Univ Pr, ISBN 0521774799 (0-521-77479-9) - Support Vector Machines: Theory And Applications
by Lipo Wang
Hardcover, Springer Verlag, ISBN 3540243887 (3-540-24388-7) -
Truth from Trash: How Learning Makes Sense
by Christopher James Thornton
Softcover, Mit Pr, ISBN 0262700875 (0-262-70087-5)More editions of Truth from Trash: How Learning Makes Sense: - Unsupervised Learning: Foundations of Neural Computation
by Terrence J. Sejnowski, Geoffrey E. Hinton
Softcover, Bradford Books, ISBN 026258168X (0-262-58168-X)
Spanish
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books tagged “machine learning”
books tagged “machine learning”
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