| Presentation | 2010-09-05 Multi-task Learning with Least-Squares Probabilistic Classifiers Jaak SIMM, Masashi SUGIYAMA, Tsuyoshi KATO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Probabilistic classification and multi-task learning are two important branches of machine learning research. Probabilistic classification is useful when the 'confidence' of decision is necessary. On the other hand, the idea of multi-task learning is beneficial if multiple related learning tasks exist. So far, kernelized logistic regression has been a vital probabilistic classifier for the use in multi-task learning scenarios. However, its training tends to be computationally expensive, which prevented its use in large-scale problems. To overcome this limitation, we propose to employ a recently-proposed probabilistic classifier called the least-squares probabilistic classifier in multi-task learning scenarios. Through image classification experiments, we show that our method achieves comparable classification performance to the existing method, with much less training time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Multi-task learning / probabilistic classification / least-squares probabilistic classifer / kernel logistic regression |
| Paper # | PRMU2010-61,IBISML2010-33 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2010/8/29(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Multi-task Learning with Least-Squares Probabilistic Classifiers |
| Sub Title (in English) | |
| Keyword(1) | Multi-task learning |
| Keyword(2) | probabilistic classification |
| Keyword(3) | least-squares probabilistic classifer |
| Keyword(4) | kernel logistic regression |
| 1st Author's Name | Jaak SIMM |
| 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 |
| 3rd Author's Name | Tsuyoshi KATO |
| 3rd Author's Affiliation | Graduate School of Frontier Sciences, University of Tokyo |
| Date | 2010-09-05 |
| Paper # | PRMU2010-61,IBISML2010-33 |
| Volume (vol) | vol.110 |
| Number (no) | 187 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |