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.

Pattern Classifiers and Trainable Machines

Computers & Technology

Sklansky, Jack

Computer Science

Secaucus, New Jersey, U.S.A.: Springer Verlag"

Pattern recognition: introduction and foundations (Benchmark papers in electrical engineering and computer science)

Dowden, Hutchinson & Ross

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Books by Sklansky, Jack

See the best price to sell, buy, or rent books by Sklansky, Jack. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Pattern Classifiers and Trainable Machines

Pattern recognition: introduction and foundations (Benchmark papers in electrical engineering and computer science)