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Sequential methods in pattern recognition and machine learning, Volume 52 (Mathematics in Science and Engineering) by K.S. Fu (Eds.) is a nonfiction available to read on EtoBox.

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Content: Edited by 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 k j '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-

Who reads Sequential methods in pattern recognition and machine learning, Volume 52 (Mathematics in Science and Engineering)?

Author

K.S. Fu (Eds.)

Publisher

Academic Press, Incorporated

Published

1968

Language

EN

ISBN

9780080955599

Category

nonfiction

Subjects

Science, Education, Computer Science