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Books Books 1 - 10 of about 45 related to Pattern Recognition and Neural Networks.   

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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Statistical Pattern Recognition

Andrew Webb - Computers - 1999 - 454 pages
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Statistics and Neural Networks: Advances at the Interface

Jim W. Kay, D. M. Titterington - Computers - 1999 - 260 pages
Recent years have seen a growing awareness of the interface between statistical research and recent advances in neural computing and artifical neural networks. This book covers ...
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Spatial Statistics

Brian D. Ripley - Mathematics - 2004 - 252 pages
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Stochastic Simulation

Brian D. Ripley - Mathematics - 2009 - 256 pages
WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series consists of selected books that have been made more accessible to consumers in an effort to increase ...
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Modern Applied Statistics with S-PLUS

William N. Venables, Brian D. Ripley - Mathematics - 2013 - 549 pages
A guide to using the power of S-PLUS to perform statistical analyses, providing both an introduction to the program and a course in modern statistical methods. Readers are ...
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Mathematical Perspectives on Neural Networks

Paul Smolensky, Michael C. Mozer, David E. Rumelhart - Computers - 1996 - 862 pages
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical ...
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From Statistics to Neural Networks: Theory and Pattern Recognition Applications

Vladimir Cherkassky, Jerome H. Friedman, Harry Wechsler - Computers - 2012 - 394 pages
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June ...
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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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Introduction to the Theory of Neural Computation

John Hertz, Anders Krogh, Richard G. Palmer - Computers - 1991 - 327 pages
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications ...
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