| Presentation | 2012-03-13 Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression Nozomi KURIHARA, Masashi SUGIYAMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Pool-based batch active learning is aimed at choosing training inputs from a 'pool' of test inputs so that the generalization error is minimized. P-ALICE is a state-of-the-art method that can cope with model misspecification by weighting training samples according to the importance (i.e., the ratio of test and training input densities). However, importance estimation in the original P-ALICE is based on the assumption that the number of training samples to gather is small, which is not always true in practice. In this paper, we propose an alternative scheme for importance estimation based on the inclusion probability, and show its validity through numerical experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | pool-based batch active learning / approximate linear regression / covariate shift / importance-weighted least-squares / P-ALICE / inclusion probability |
| Paper # | IBISML2011-105 |
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| Conference Information | |
| Committee | IBISML |
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| Conference Date | 2012/3/5(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 | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Improving Importance Estimation in Pool-based Batch Active Learning for Approximate Linear Regression |
| Sub Title (in English) | |
| Keyword(1) | pool-based batch active learning |
| Keyword(2) | approximate linear regression |
| Keyword(3) | covariate shift |
| Keyword(4) | importance-weighted least-squares |
| Keyword(5) | P-ALICE |
| Keyword(6) | inclusion probability |
| 1st Author's Name | Nozomi KURIHARA |
| 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 | 2012-03-13 |
| Paper # | IBISML2011-105 |
| Volume (vol) | vol.111 |
| Number (no) | 480 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |