| 000 | 02104cam a2200349 a 4500 | ||
|---|---|---|---|
| 008 | 090222s2001 nyua b 001 0 eng | ||
| 010 | _a99029981 | ||
| 020 | _a0471056693 | ||
| 020 | _a9780471056690 | ||
| 035 | _a(Sirsi) u1098 | ||
| 040 |
_aEG-CaNU _cEG-CaNU _dEG-CaNU |
||
| 042 | _ancode | ||
| 082 | 0 | 0 |
_a006.4 _2 22 |
| 100 | 1 |
_aDuda, Richard O. _9396 |
|
| 245 | 1 | 0 |
_aPattern classification / _c Richard O. Duda, Peter E. Hart, David G. Stork. |
| 250 | _a2nd ed. | ||
| 260 |
_aNew York : _b Wiley, _c c2001. |
||
| 300 |
_axx, 654 p. : _b ill. ; _c 27 cm. |
||
| 500 | _a"A Wiley-Interscience Publication." | ||
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aBayesian 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. | |
| 520 | _aThe 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. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department. | ||
| 630 | 0 | 0 |
_aCIT. _914 |
| 650 | 0 |
_aPattern recognition systems. _9397 |
|
| 650 | 0 |
_aStatistical decision. _9398 |
|
| 700 | 1 |
_aHart, Peter E. _q (Peter Elliot), _d 1941- _9214 |
|
| 700 | 1 |
_aStork, David G. _9399 |
|
| 596 | _a1 | ||
| 999 |
_c116 _d116 |
||