| Presentation | 2002/3/13 Belief Propagation for Probabilistic Information Processing and Cluster Variation Method Kazuyuki TANAKA, |
|---|---|
| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | General formula for berief propagation algorithms are given by applying a cluster variation mehtod to massive probabilistic models with any network structure. We give some numerical experiments for the application of the belief propagation algorithm to binary image processing and its hyperparameter determination constructed by means of Bayesian statistics. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian statistics / probabilistic inference / berief propagation / mean-field theory / graphical model |
| Paper # | NC2001-221 |
| Date of Issue |
| Conference Information | |
| Committee | NC |
|---|---|
| Conference Date | 2002/3/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Belief Propagation for Probabilistic Information Processing and Cluster Variation Method |
| Sub Title (in English) | |
| Keyword(1) | Bayesian statistics |
| Keyword(2) | probabilistic inference |
| Keyword(3) | berief propagation |
| Keyword(4) | mean-field theory |
| Keyword(5) | graphical model |
| 1st Author's Name | Kazuyuki TANAKA |
| 1st Author's Affiliation | Department of computer and Mathematical Sciences, Graduate School of Information Sciences, Tohoku University() |
| Date | 2002/3/13 |
| Paper # | NC2001-221 |
| Volume (vol) | vol.101 |
| Number (no) | 737 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |