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Ensemble of Linear Experts as an Interpretable Piecewise Linear Classifier
http://hdl.handle.net/10445/5283
http://hdl.handle.net/10445/52837b7b507e-dcb5-4ca4-8092-bf868e5cf68b
| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2010-11-29 | |||||
| タイトル | ||||||
| タイトル | Ensemble of Linear Experts as an Interpretable Piecewise Linear Classifier | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| アクセス権 | ||||||
| アクセス権 | metadata only access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
| 著者 |
Hartono, Pitoyo
× Hartono, Pitoyo |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In this study we propose a new ensemble model composed of several linear perceptrons. The objective of this study is to build a piecewise-linear classifier that is not only competitive to Multilayer Perceptrons(MLP) in generalization performance but also interpretable in the form of human-comprehensible rules. We propose a simple competitive training method that allows the ensemble to effectively divide a given training space into several sub-spaces based on so called "confidence value", and train each module to obtain a linear rule within the allocated sub-space. The linearity of the ensemble's module significantly simplifies the rule extraction process. | |||||
| 書誌情報 |
Innovative Computing, Information and Control Express Letter 巻 2, 号 3, p. 295-303, 発行日 2008 |
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| 査読有無 | ||||||
| 値 | あり/yes | |||||
| 研究業績種別 | ||||||
| 値 | 原著論文/Original Paper | |||||
| 単著共著 | ||||||
| 値 | 単著/solo | |||||
