Jack Sklansky
Pattern Classifiers and Trainable Machines Jack Sklansky Softcover Reprint of the Original 1st Ed. 1981 edition

Name: Pattern Classifiers and Trainable Machines
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Author: Jack Sklansky

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Pattern Classifiers and Trainable Machines

Jack Sklansky

Softcover Reprint of the Original 1st Ed. 1981 edition

This book is the outgrowth of both a research program and a graduate course at the University of California, Irvine (UCI) since 1966, as well as a graduate course at the California State Polytechnic University, Pomona (Cal Poly Pomona). The research program, part of the UCI Pattern Recogni tion Project, was concerned with the design of trainable classifiers; the graduate courses were broader in scope, including subjects such as feature selection, cluster analysis, choice of data set, and estimates of probability densities. In the interest of minimizing overlap with other books on pattern recogni tion or classifier theory, we have selected a few topics of special interest for this book, and treated them in some depth. Some of this material has not been previously published. The book is intended for use as a guide to the designer of pattern classifiers, or as a text in a graduate course in an engi neering or computer science curriculum. Although this book is directed primarily to engineers and computer scientists, it may also be of interest to psychologists, biologists, medical scientists, and social scientists.

336 pages, biography

Medien	Bücher Taschenbuch (Buch mit Softcover und geklebtem Rücken)
Erscheinungsdatum	12. Oktober 2011
ISBN13	9781461258407
Verlag	Springer-Verlag New York Inc.
Seitenanzahl	336
Maße	155 × 235 × 19 mm · 494 g
Sprache	Englisch