| David G. Stork - Computers - 1997 - 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 | |
| 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 | |
| Ethem Alpaydin - Computers - 2004 - 415 pages
An introductory text in machine learning that gives a unified treatment of methods based on statistics, pattern recognition, neural networks, artificial intelligence, signal ... | |
| Mike James - Computers - 1985 - 209 pages
An introduction to the theory and application of classification analysis. Presents techniques for classification analysis that can be applied to a range of disciplines ... | |
| Andrew Webb - Computers - 1999 - 454 pages
From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of ... | |
| 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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