Sequential Methods in Pattern Recognition and Machine Learning

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Page iii

Copyright page
Page iv

Preface
Pages v-vi
K.S. Fu

Acknowledgments
Page vii

Chapter 1 Introduction
Pages 1-23

Chapter 2 Feature Selection and Feature Ordering
Pages 24-45

Chapter 3 Forward Procedure for Finite Sequential Classification Using Modified Sequential Probability Ratio Test
Pages 46-63

Chapter 4 Backward Procedure for Finite Sequential Recognition Using Dynamic Programming
Pages 64-95

Chapter 5 Nonparametric Procedure in Sequential Pattern Classification
Pages 96-116

Chapter 6 Bayesian Learning in Sequential Pattern Recognition Systems
Pages 117-140

Chapter 7 Learning in Sequential Recognition Systems Using Stochastic Approximation
Pages 141-170

Appendix A Introduction to Sequential Analysis
Pages 171-180

Appendix B Optimal Properties of Generalized Karhunen-Loève Expansion
Pages 181-184

Appendix C Properties of the Modified Sprt
Pages 185-190

Appendix D Enumeration of Some Combinations of the kj's and Derivation of Formula for the Reduction of Tables Required in the Computation of Risk Functions
Pages 191-195

Appendix E Computations Required for the Feature Ordering and Pattern Classification Experiments Using Dynamic Programming
Pages 196-200

Appendix F Stochastic Approximation: A Brief Survey
Pages 201-213

Appendix G: The Method of Potential Functions or Reproducing Kernels
Pages 214-222

Author Index
Pages 223-225

Subject Index
Pages 226-227