product iamge

Pattern classification

This document was uploaded by one of our users. The uploader already confirmed that they had the permission to publish it. If you are author/publisher or own the copyright of this documents, please report to us by using this DMCA report form.

Download
Search on Amazon

Simply click on the Download Book button.

Yes, Book downloads on Ebookily are 100% Free.

Sometimes the book is free on Amazon As well, so go ahead and hit "Search on Amazon"

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.

Author(s): Richard O. Duda, Peter E. Hart, David G. Stork
Edition: 2nd ed
Publisher: Wiley
Year: 2001

Language: English
Commentary: references to chapters use placeholders, eg: in Chap. ??
Pages: 738
City: New York
Tags: Информатика и вычислительная техника;Искусственный интеллект;Распознавание образов;

Chapter 3 - MLE and Bayesian Estimation......Page 105
Chapter 4 - Nonparametric techniqes......Page 185
Chapter 5 - Liear Discriminant Functions......Page 259
Chapter 6 - Multilayer Meural Networks......Page 331
Chapter 7 - Stochastic Methods......Page 409
Chapter 8 - Non-metric Methods......Page 459
Chapter 9 - Machine Learning......Page 531
Chapter 10 - Unsupervised Learning and Clustering......Page 603
Appendix A - Mathematical Foundations......Page 695