Pattern Recognition and Machine Learning
Published on 9. September 1992
Book
Hardback
407 pages
978-0-12-058830-5 (ISBN)
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.
More details
Language
English
Place of publication
San Francisco
United States
Publishing group
Elsevier Science & Technology
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Weight
750 gr
ISBN-13
978-0-12-058830-5 (9780120588305)
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Schweitzer Classification
Other editions
Additional editions
E-Book
05/2014
Morgan Kaufmann
€54.95
Available for download
Person
Content
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.