| Presentation | 2013-12-21 Conditional Density Estimation with Feature Selection Motoki SHIGA, Masashi SUGIYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | On identification of the statistical dependency between inputs and outputs, an conditional density estimation is essential. The least-squares conditional density estimator (LS-CDE) proposed by Sugiyama et al. is more efficient and more applicable for more complex structures than regression models, which estimate the conditional mean of outputs. However, LS-CDE still suffers from large estimation error when many irrelevant features exist in inputs. In this paper, we propose extending LS-CDE to allow simultaneous feature selection during conditional density estimation. We evaluated our proposed method by numerical experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Conditional density estimation / Feature selection / Sparse structured norm |
| Paper # | NC2013-56 |
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| Committee | NC |
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| Conference Date | 2013/12/14(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Conditional Density Estimation with Feature Selection |
| Sub Title (in English) | |
| Keyword(1) | Conditional density estimation |
| Keyword(2) | Feature selection |
| Keyword(3) | Sparse structured norm |
| 1st Author's Name | Motoki SHIGA |
| 1st Author's Affiliation | Informatics Course, Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University() |
| 2nd Author's Name | Masashi SUGIYAMA |
| 2nd Author's Affiliation | Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology |
| Date | 2013-12-21 |
| Paper # | NC2013-56 |
| Volume (vol) | vol.113 |
| Number (no) | 374 |
| Page | pp.pp.- |
| #Pages | 6 |
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