Pattern Recognition and Machine Learning

by Y. Anzai

Overview

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.

Product Details

ISBN-13:	9780080513638
Publisher:	Elsevier Science
Publication date:	12/02/2012
Sold by:	Barnes & Noble
Format:	eBook
Pages:	407
File size:	12 MB
Note:	This product may take a few minutes to download.

Table of 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.

Editorial Reviews

A self-study textbook for readers with the mathematical background of a sophomore student of engineering or science. Describes various forms of representing information, and establishes that both recognition and learning are transformations of those representations. The subsequent sections, on recognition and on learning, are self-contained. First published in Japanese in 1989. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews