Bayesian learning for neural networks /
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| Author / Creator: | Neal, Radford M. |
|---|---|
| Imprint: | New York : Springer, 1996. |
| Description: | xi, 183 p. : ill. ; 24 cm. |
| Language: | English |
| Series: | Lecture notes in statistics ; 118 Lecture notes in statistics (Springer-Verlag) ; v. 118. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/2574609 |
Table of Contents:
- 1. Introduction
- 2. Priors for Infinite Networks
- 3. Monte Carlo Implementation
- 4. Evaluation of Neural Network Models
- 5. Conclusions and Further Work
- A. Details of the Implementation
- B. Obtaining the software.
