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Budget constrained non-monotonic feature selection.
Yang, Haiqin; Xu, Zenglin; Lyu, Michael R; King, Irwin.
Afiliação
  • Yang H; Shenzhen Key Laboratory of Rich Media Big Data Analytics and Application, Shenzhen Research Institute, The Chinese University of Hong Kong,; Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong. Electronic address: hqyang@ieee.org.
  • Xu Z; Big Data Research Center, University of Electronic Science & Technology, Chengdu, Sichuan, China; School of Computer Science and Engineering, University of Electronic Science & Technology, Chengdu, Sichuan, China. Electronic address: zlxu@uestc.edu.cn.
  • Lyu MR; Shenzhen Key Laboratory of Rich Media Big Data Analytics and Application, Shenzhen Research Institute, The Chinese University of Hong Kong,; Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong.
  • King I; Shenzhen Key Laboratory of Rich Media Big Data Analytics and Application, Shenzhen Research Institute, The Chinese University of Hong Kong,; Computer Science & Engineering, The Chinese University of Hong Kong, Hong Kong.
Neural Netw ; 71: 214-24, 2015 Nov.
Article em En | MEDLINE | ID: mdl-26433049
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados / Aprendizado de Máquina Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2015 Tipo de documento: Article
Texto completo
Imprimir
XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mineração de Dados / Aprendizado de Máquina Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2015 Tipo de documento: Article