Pattern Classifiers and Trainable Machines

Sklansky, J.

ISBN 10: 0387904352 / ISBN 13: 9780387904351

Edité par Springer-Verlag New York Inc., 1981

A propos de cet article

VG condition book without dust jacket. Boards are clean with little wear. Book has clean and bright contents.

N° de réf. du vendeur 9999-99984991821

Détails bibliographiques

• Titre: Pattern Classifiers and Trainable Machines
• Éditeur: Springer-Verlag New York Inc.
• Date de parution: 1981
• Langue: anglais
• ISBN à 10 chiffres: 0387904352
• ISBN à 13 chiffres: 9780387904351
• Reliure: Couverture rigide
• État de l'article: Good

A propos de ce titre

Synopsis

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.