Sequential methods in pattern recognition and machine learning / [by] K.S. Fu.
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New York :
Academic Press,
1968.
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| Series: | Mathematics in science and engineering ;
v. 52. |
| Subjects: |
Table of Contents:
- Introduction
- Feature selection and feature ordering
- Forward procedure for finite sequential classification using modified sequential probability ratio test
- Backward procedure for finite sequential recognition using dynamic programming
- Non parametric procedure in sequential pattern classification
- Bayesian learning in sequential pattern recognition systems
- Learning in sequential recognition systems using stochastic approximation
- Appendix A: Introduction to sequential analysis
- Appendix B: Optimal properties of generalized Karhunen-Loève expansion
- Appendix C: Properties of the modified SPRT
- Appendix D: Enumeration of some combinations of the k[sub]j's and derivation of formula for the reduction of tables required in the computation of risk functions
- Appendix E: Computations required for the feature ordering and pattern classification experiments using dynamic programming
- Appendix F: Stochastic approximation: a brief survey
- Appendix G: The method of potential functions or reproducing kernels.