A practical Monte Carlo implementation of Bayesian learning
1996
Conference Paper
ei
A practical method for Bayesian training of feed-forward neural networks using sophisticated Monte Carlo methods is presented and evaluated. In reasonably small amounts of computer time this approach outperforms other state-of-the-art methods on 5 datalimited tasks from real world domains.
Author(s): | Rasmussen, CE. |
Book Title: | Advances in Neural Information Processing Systems 8 |
Journal: | Advances in Neural Processing Systems 8 |
Pages: | 598-604 |
Year: | 1996 |
Month: | June |
Day: | 0 |
Editors: | Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo |
Publisher: | MIT Press |
Department(s): | Empirical Inference |
Bibtex Type: | Conference Paper (inproceedings) |
Event Name: | Ninth Annual Conference on Neural Information Processing Systems (NIPS 1995) |
Event Place: | Denver, CO, USA |
Address: | Cambridge, MA, USA |
Digital: | 0 |
ISBN: | 0-262-20107-0 |
Organization: | Max-Planck-Gesellschaft |
School: | Biologische Kybernetik |
Links: |
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BibTex @inproceedings{2999, title = {A practical Monte Carlo implementation of Bayesian learning}, author = {Rasmussen, CE.}, journal = {Advances in Neural Processing Systems 8}, booktitle = {Advances in Neural Information Processing Systems 8}, pages = {598-604}, editors = {Touretzky, D.S. , M.C. Mozer, M.E. Hasselmo}, publisher = {MIT Press}, organization = {Max-Planck-Gesellschaft}, school = {Biologische Kybernetik}, address = {Cambridge, MA, USA}, month = jun, year = {1996}, doi = {}, month_numeric = {6} } |