Pattern Classifiers and Trainable Machines

1. Front Matter

   Pages i-xi

   PDF

2. Introduction and Overview

   • Jack Sklansky, Gustav N. Wassel

   Pages 1-30

3. Linearly Separable Classes

   • Jack Sklansky, Gustav N. Wassel

   Pages 31-78

4. Nonlinear Classifiers

   • Jack Sklansky, Gustav N. Wassel

   Pages 79-121

5. Loss Functions and Stochastic Approximation

   • Jack Sklansky, Gustav N. Wassel

   Pages 122-169

6. Linear Classifiers for Nonseparable Classes

   • Jack Sklansky, Gustav N. Wassel

   Pages 170-234

7. Markov Chain Training Models for Nonseparable Classes

   • Jack Sklansky, Gustav N. Wassel

   Pages 235-283

8. Continuous-State Models

   • Jack Sklansky, Gustav N. Wassel

   Pages 284-312

9. Back Matter

   Pages 313-335

   PDF

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.

• Klassifikation
• Lernender Automat
• Mustererkennung
• classifikation
• material
• pattern recognition

• Department of Electrical Engineering, University of California at Irvine, Irvine, USA

  Jack Sklansky

• Department of Electronic and Electrical Engineering, California Polytechnic State University, San Luis Obispo, USA

  Gustav N. Wassel

Policies and ethics