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Bayesian Learning for Neural Networks.

By: Material type: TextTextSeries: Lecture Notes in Statistics SeriesPublisher: New York, NY : Springer, 1996Copyright date: ©1996Edition: 1st edDescription: 1 online resource (194 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781461207450
Subject(s): Genre/Form: Additional physical formats: Print version:: Bayesian Learning for Neural NetworksLOC classification:
  • QA273.A1-274.9
Online resources:
Contents:
Lecture Notes in Statistics -- Bayesian Learning for Neural Networks -- Copyright -- Preface -- Contents -- List of Figures -- Chapter 1 Introduction -- Chapter 2 Priors for Infinite Networks -- Chapter 3 Monte Carlo Implementation -- Chapter 4 Evaluation of Neural Network Models -- Chapter 5 Conclusions and Further Work -- Appendix A Details of the Implementation -- Appendix B Obtaining the software -- Bibliography -- Index.
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Lecture Notes in Statistics -- Bayesian Learning for Neural Networks -- Copyright -- Preface -- Contents -- List of Figures -- Chapter 1 Introduction -- Chapter 2 Priors for Infinite Networks -- Chapter 3 Monte Carlo Implementation -- Chapter 4 Evaluation of Neural Network Models -- Chapter 5 Conclusions and Further Work -- Appendix A Details of the Implementation -- Appendix B Obtaining the software -- Bibliography -- Index.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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