Presentation | 2012-03-13 Feature Selection via l_1-Penalized Squared-Loss Mutual Information Wittawat JITKRITTUM, Hirotaka HACHIYA, Masashi SUGIYAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Feature selection is a technique to screen out less important features. Many existing supervised feature selection algorithms use redundancy and relevancy as the main criteria to select features. However, feature interaction, potentially a key characteristic in real-world problems, has not received much attention. As an attempt to take feature interaction into account, we propose l_1-LSMI, an l_1-regularization based algorithm that maximizes a squared-loss variant of mutual information between selected features and outputs. Numerical results show that l_1-LSMI performs well in handling redundancy, detecting non-linear dependency, and considering feature interaction. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | feature selection / l_1-regularization / squared-loss mutual information / density-ratio estimation / dimensionality reduction |
Paper # | IBISML2011-107 |
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Committee | IBISML |
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Conference Date | 2012/3/5(1days) |
Place (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) | Feature Selection via l_1-Penalized Squared-Loss Mutual Information |
Sub Title (in English) | |
Keyword(1) | feature selection |
Keyword(2) | l_1-regularization |
Keyword(3) | squared-loss mutual information |
Keyword(4) | density-ratio estimation |
Keyword(5) | dimensionality reduction |
1st Author's Name | Wittawat JITKRITTUM |
1st Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology() |
2nd Author's Name | Hirotaka HACHIYA |
2nd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
3rd Author's Name | Masashi SUGIYAMA |
3rd Author's Affiliation | Department of Computer Science, Tokyo Institute of Technology |
Date | 2012-03-13 |
Paper # | IBISML2011-107 |
Volume (vol) | vol.111 |
Number (no) | 480 |
Page | pp.pp.- |
#Pages | 8 |
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