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Books Books 1 - 10 of about 45 related to Pattern classification.    

Speechreading by Humans and Machines: Models, Systems, and Applications

David G. Stork, Marcus E. Hennecke - Computers - 1996 - 686 pages
Proceedings of the NATO Advanced Study Institute on Speechreading by Man and Machine, held in Castera-Verzudan, France, August 28 - September 8, 1995
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HAL's Legacy: 2001's Computer As Dream and Reality

David G. Stork - Computers - 1998 - 384 pages
Collects essays concerning how close we are to building computers that are as intelligent, devious, and emotional as the computer in the classic film, 2001
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Trevor Hastie, Robert Tibshirani, Jerome H. Friedman - Mathematics - 2001 - 533 pages
This book describes the important ideas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples ...
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Neural Networks for Pattern Recognition

Christopher M. Bishop - Computers - 1995 - 482 pages
`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist
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Learning and Soft Computing: Support Vector Machines, Neural Networks, and ...

Vojislav Kecman - Computers - 2001 - 541 pages
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are ...
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The Mathematics of Generalization: The Proceedings of the SFI/CNLS Workshop ...

David H. Wolpert - Computers - 1995 - 441 pages
Contributions from workers in Bayesian analysis, machine learning, neural nets, PAC and VC theory, classical sampling theory statistics and the statistical physics of learning ...
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An Information-Theoretic Approach to Neural Computing

Gustavo Deco - Computers - 1996 - 261 pages
Neural networks provide a powerful new technology to model and control nonlinear and complex systems. In this book, the authors present a detailed formulation of neural ...
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