Multi-label feature selection algorithm based on joint mutual information of max-relevance and min-redundancy
Feature selection has played an important role in machine learning and artificial intelligence in the past decades.Many existing feature selection algorithm have chosen some redundant and irrelevant features,which is leading to overestimation of some features.Moreover,more features will significantl...
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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Department of Journal on Communications
2018-05-01
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| シリーズ: | Tongxin xuebao |
| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2018082 |
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