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| PATTERN RECOGNITION & MACHINE LEARNING
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To order this title, and for more information, click here
By
Y. Anzai, Keio University, Yokohama, Japan
Description
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 chapter exercises, keywords, and summaries.
Contents
Reader's Guide. Recognition and Learning By a Computer. Representing Information. Generation and Transformation of Representations. Pattern
Feature Extraction. Pattern Feature Extraction. Pattern Understanding Methods. Learning Concepts. Learning Procedures. Learning Based
on Logic. Learning Procedures. Learning Based on Logic. Learning By Classification and Discovery. Learning By Neural Network. Appendix.
Answers to Exercises. Chapter Summaries, Keywords, And Exercises. Chapter References. Index.
| Bibliographic details |
Hardbound, 407 pages, publication date: JUL-1992
ISBN-13: 978-0-12-058830-5
ISBN-10: 0-12-058830-7
Imprint: MORGAN KAUFMANN
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| Price and Ordering |
Price:
GBP 100
EUR 107
USD 159
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Last update: 19 Feb 2010
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