Presentation | 2010-09-05 Multi-task Learning with Least-Squares Probabilistic Classifiers Jaak SIMM, Masashi SUGIYAMA, Tsuyoshi KATO, |
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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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Committee | PRMU |
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Conference Date | 2010/8/29(1days) |
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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 |
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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 |
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