| Presentation | 2007-01-25 A New Meta-Criterion for Regularized Subspace Information Criterion Yasushi HIDAKA, Masashi SUGIYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In order to gain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the generalization error is minimized. However, since the generalization error is inaccessible in practice, the model parameters are usually determined so that an estimator of the generalization error is minimized. The regularized subspace information criterion (RSIC) is such a generalization error estimator for model selection. RSIC includes a regularization parameter and it should be determined appropriately for better model selection. A meta-criterion for determining the regularization parameter has also been proposed and shown to be useful in practice. In this paper, we show that there are several drawbacks in the existing meta-criterion and give an alternative meta-criterion that can solve the problems. Through simulations, we show that the use of the new meta-criterion further improves the model selection performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | supervised learning / model selection / unbiased estimator / regularized subspace information criterion |
| Paper # | NC2006-96 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2007/1/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A New Meta-Criterion for Regularized Subspace Information Criterion |
| Sub Title (in English) | |
| Keyword(1) | supervised learning |
| Keyword(2) | model selection |
| Keyword(3) | unbiased estimator |
| Keyword(4) | regularized subspace information criterion |
| 1st Author's Name | Yasushi HIDAKA |
| 1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
| 2nd Author's Name | Masashi SUGIYAMA |
| 2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
| Date | 2007-01-25 |
| Paper # | NC2006-96 |
| Volume (vol) | vol.106 |
| Number (no) | 500 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |