| Description |
1 online resource (xx, 654 pages) : illustrations |
| Contents |
Introduction -- Bayesian decision theory -- Maximum-likelihood and Bayesian parameter estimation -- Nonparametric techniques -- Linear discriminant functions -- Multilayer neural networks -- Stochastic methods -- Nonmetric methods -- Algorithm-independent machine learning -- Unsupervised learning and clustering -- Mathematical foundations |
| Summary |
The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. |
| Notes |
"A Wiley-Interscience Publication." |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Also available in print |
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Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
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Description based on print version record |
| Subject |
Pattern Recognition
|
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Statistics
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Pattern recognition
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Pattern recognition systems
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Statistical decision
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| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| Author |
Hart, Peter E. (Peter Elliot), 1941-, author
|
|
Stork, David G, author
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ProQuest (Firm)
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| LC no. |
99029981 |
| ISBN |
9781118586006 |
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111858600X |
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