| Presentation | 2012-11-08 New Graphical Model "Firing Process Network" : A Model with Easy Learning KAZUYA TAKABATAKE, SHOTARO AKAHO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a versatile multivariate probabilistic model that can easily learn its structure and parameters from a given dataset. In conventional graphical models, structure-learning or parameter-learning is intractable for large models, since it concerns the whole network. In the proposed model, each node has a manifold respectively, and the model distribution is defined as the limiting distribution of a Markov chain that is iterative m-projections to these manifolds. An upper-bound of a Bregman divergence shows that the model distribution obtained by the proposed learning algorithm is close to the empirical distribution of data. The proposed learning algorithm is performed by a node-by-node manner, since each node is only responsible for its own manifold. Experiments shows the performance of the proposed model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | graphical model / learning / computational cost / MCMC / information geometry |
| Paper # | IBISML2012-78 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/10/31(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Information-Based Induction Sciences and Machine Learning (IBISML) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | New Graphical Model "Firing Process Network" : A Model with Easy Learning |
| Sub Title (in English) | |
| Keyword(1) | graphical model |
| Keyword(2) | learning |
| Keyword(3) | computational cost |
| Keyword(4) | MCMC |
| Keyword(5) | information geometry |
| 1st Author's Name | KAZUYA TAKABATAKE |
| 1st Author's Affiliation | Human Technology Institute, AIST() |
| 2nd Author's Name | SHOTARO AKAHO |
| 2nd Author's Affiliation | Human Technology Institute, AIST |
| Date | 2012-11-08 |
| Paper # | IBISML2012-78 |
| Volume (vol) | vol.112 |
| Number (no) | 279 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |