Sequential Methods in Pattern Recognition and Machine Learning
eBook - PDF

Sequential Methods in Pattern Recognition and Machine Learning

  1. 226 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Sequential Methods in Pattern Recognition and Machine Learning

About this book

Sequential Methods in Pattern Recognition and Machine Learning

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Yes, you can access Sequential Methods in Pattern Recognition and Machine Learning by K.C. Fu in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Front Cover
  2. Sequential Methods in Pattern Recognition and Machine Learning
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1. Introduction
  7. Chapter 2. Feature Selection and Feature Ordering
  8. Chapter 3. Forward Procedure for Finite Sequential Classification Using Modified Sequential Probability Ratio Test
  9. Chapter 4. Backward Procedure for Finite Sequential Recognition Using Dynamic Programming
  10. Chapter 5. Nonparametric Procedure in Sequential Pattern Classification
  11. Chapter 6. Bayesian Learning in Sequential Pattern Recognition Systems
  12. Chapter 7. Learning in Sequential Recognition Systems Using Stochastic Approximation
  13. Appendix A. Introduction to Sequential Analysis
  14. Appendix B. Optimal Properties of Generalized Karhunen–Loève Expansion
  15. Appendix C. Properties of the Modified SPRT
  16. Appendix D. Enumeration of Some Combinations of the kjs and Derivation of Formula for the Reduction of Tables Required in the Computation of Risk Functions
  17. Appendix E. Computations Required for the Feature Ordering and Pattern Classification Experiments Using Dynamic Programming
  18. Appendix F. Stochastic Approximation: A Brief Survey
  19. Appendix G. The Method of Potential Functions or Reproducing Kernels
  20. Author Index
  21. Subject Index