關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Hybrid Feature Selection by Combining Filters and Wrappers

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序號 學年期 教師動態
1 99/2 資訊系 許輝煌 教授 期刊論文 發佈 Hybrid Feature Selection by Combining Filters and Wrappers , [99-2] :Hybrid Feature Selection by Combining Filters and Wrappers期刊論文Hybrid Feature Selection by Combining Filters and WrappersHsu, Hui-Huang; Hsieh, Cheng-Wei; Lu, Ming-Da淡江大學資訊工程學系Feature selection;Filters;Wrappers;Support vector machine;Disordered protein;MicroarrayKidlington: PergamonExpert Systems with Applications 38(7), pp.8144-8150Feature selection aims at finding the most relevant features of a problem domain. It is very helpful in improving computational speed and prediction accuracy. However, identification of useful features from hundreds or even thousands of related features is a nontrivial task. In this paper, we introduce a hybrid feature selection method which combines two feature selection methods – the filters and the wrappers. Candidate features are first selected from the original feature set via computationally-efficient filters. The candidate feature set is further refined by more accurate wrappers. This hybrid mechanism takes advantage of both the filters and the wrappe
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