| Presentation | 2023-06-29 Selective Inference for a Combination of Feature Selection Algorithms Tatsuya Matsukawa, Daiki Miwa, Vo Nguyen Le Duy, Koichi Taji, Ichiro Takeuchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In data-driven science, classical statistical hypothesis testing does not provide an adequate reliability assessment because hypotheses are selected based on the data. To solve this problem, an approach called Conditional Selective Inference (CSI), which takes into account the hypotheses selected by data, has attracted much attention. Some literature proposed CSI for single feature selection algorithms such as marginal screening, Lasso, and sequential feature selection(SFS). However, in practical data analysis, a combination of multiple feature selection algorithms is sometimes used. In this paper, we propose a new method for quantifying reliability of multiple feature selection algorithms in combination using CSI. Additionally, we demonstrate the validity of the proposed method through numerical experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | conditional SI / data-driven hypothesis / marginal screening / Lasso / SFS |
| Paper # | NC2023-1,IBISML2023-1 |
| Date of Issue | 2023-06-22 (NC, IBISML) |
| Conference Information | |
| Committee | NC / IBISML / IPSJ-BIO / IPSJ-MPS |
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| Conference Date | 2023/6/29(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OIST Conference Center |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Hirokazu Tanaka(Tokyo City Univ.) / Masashi Sugiyama(Univ. of Tokyo) |
| Vice Chair | Jun Izawa(Univ. of Tsukub) / Toshihiro Kamishima(AIST) / Koji Tsuda(Univ. of Tokyo) |
| Secretary | Jun Izawa(NTT) / Toshihiro Kamishima(NAIST) / Koji Tsuda(NTT) / (Hokkaido Univ.) |
| Assistant | Yoshimasa Tawatsuji(Waseda Univ.) / Takato Horii(Osaka Univ.) / Yoshinobu Kawahara(Osaka Univ.) / Taiji Suzuki(Tokyo Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Information-Based Induction Sciences and Machine Learning / Special Interest Group on Bioinformatics and Genomics / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Selective Inference for a Combination of Feature Selection Algorithms |
| Sub Title (in English) | |
| Keyword(1) | conditional SI |
| Keyword(2) | data-driven hypothesis |
| Keyword(3) | marginal screening |
| Keyword(4) | Lasso |
| Keyword(5) | SFS |
| 1st Author's Name | Tatsuya Matsukawa |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 2nd Author's Name | Daiki Miwa |
| 2nd Author's Affiliation | Nagoya Institute of Technology(NITech) |
| 3rd Author's Name | Vo Nguyen Le Duy |
| 3rd Author's Affiliation | RIKEN(RIKEN) |
| 4th Author's Name | Koichi Taji |
| 4th Author's Affiliation | Nagoya University(Nagoya Univ.) |
| 5th Author's Name | Ichiro Takeuchi |
| 5th Author's Affiliation | Nagoya University/RIKEN(Nagoya Univ./RIKEN) |
| Date | 2023-06-29 |
| Paper # | NC2023-1,IBISML2023-1 |
| Volume (vol) | vol.123 |
| Number (no) | NC-90,IBISML-91 |
| Page | pp.pp.1-8(NC), pp.1-8(IBISML), |
| #Pages | 8 |
| Date of Issue | 2023-06-22 (NC, IBISML) |