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📁

Pattern Recognition & Machine Learning

✍ Scribed by Y. Anzai (Auth.)

Publisher: Elsevier Science
Year: 1992
Tongue: English
Leaves: 412
Category: Library

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✦ Synopsis

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features Read more...

✦ Table of Contents

Content:
Front Matter, Page iii
Copyright, Page iv
Preface, Pages ix-x
Study Guide, Pages xi-xvi
1 - Recognition and Learning by a Computer, Pages 1-12
2 - Representing Information, Pages 13-48
3 - Generation and Transformation of Representations, Pages 49-88
4 - Pattern Feature Extraction, Pages 89-140
5 - Pattern Understanding Methods, Pages 141-175
6 - Learning Concepts, Pages 177-203
7 - Learning Procedures, Pages 205-233
8 - Learning Based on Logic, Pages 235-264
9 - Learning by Classification and Discovery, Pages 265-295
10 - Learning by Neural Networks, Pages 297-335
Appendix - Examples of Learning by Neural Networks, Pages 337-356
Answers, Pages 357-386
Bibliography, Pages 387-402
Index, Pages 403-407

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