Unsupervised Dual Learning for Feature and Instance Selection
Feature selection and instance selection are dual operations on a data matrix. Feature selection aims at selecting a subset of relevant and informative features from original feature space, while instance selection at identifying a subset of informative and representative instances. Most of previous...
| 出版年: | IEEE Access |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
IEEE
2020-01-01
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| 主題: | |
| オンライン･アクセス: | https://ieeexplore.ieee.org/document/9200324/ |