Feature selection considering Uncertainty Change Ratio of the class label

Author:

Zhang Ping,Gao Wanfu

Funder

Postdoctoral Innovative Talents Support Program, China

National Key R&D Plan of China

National Sci-Tech Support Plan of China

National Natural Science Foundation of China

Youth Science Foundation of Jilin Province of China

Youth Sci-Tech Innovation Leader and Team Project of Jilin Province of China

Key Technology Innovation Cooperation Project of Government and University for the whole Industry Demonstration, China

Key scientific and technological R&D Plan of Jilin Province of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Software

Reference52 articles.

1. Feature Selection for Knowledge Discovery and Data Mining, Vol. 454;Liu,2012

2. Toward integrating feature selection algorithms for classification and clustering;Liu;IEEE Trans. Knowl. Data Eng.,2005

3. P.L. Varela, A. Martins, P. Aguiar, M. Figueiredo, An empirical study of feature selection for sentiment analysis, in: 9th Conference on Telecommunications, Conftele, Castelo Branco, 2013.

4. Feature selection for high-dimensional machinery fault diagnosis data using multiple models and radial basis function networks;Zhang;Neurocomputing,2011

5. Mutual information criterion for feature selection from incomplete data;Qian;Neurocomputing,2015

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