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《Journal of Chongqing University of Posts and Telecommunications》 2005-01
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Study on the model of feature selection from huge feature sets

WANG Lian~1, LI Yun~2, WANG Xue-yan~3 (1. Chongqing University of Posts and Telecommunications, Chongqing 400065,P.R.China; 2. Department of Computer,Chongqing University, Chongqing 400044,P.R.China; 3. Center of Operation and Maintenance Chongqing Mobile Company, Chongqing 400044,P.R.China)  
Feature selection is a key problem in machine learning and pattern recognition, at the same time, feature selection from huge sets(FSHS) is a hot and difficult subject for researchers to study. In this paper, through the model of FSHS, the authors categorize algorithms about FSHS, and analyze the advantages and disadvantages of the model.
【CateGory Index】: TP391.4
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