Art

J-GLOBAL ID：201702229209689065   Reference number：17A0066416

Efficient Gene Selection Technique Based on Maximum Neighborhood Mutual Information and Particle Swarm Optimization

近傍相互情報量の最大化と粒子群最適化に基づく特徴遺伝子選択方法を提案した。【JST・京大機械翻訳】

Author (3)： Xu Tianhe (College of Computer & Information Engineering,Henan Normal University; Engineering Lab of Intelligence Business & Internet of Things,Henan Province; Engineering Technology Research Center for Computing Intelligence & Data Mining,Henan Province) ,  Ma Yuanyuan (College of Computer & Information Engineering,Henan Normal University; Engineering Lab of Intelligence Business & Internet of Things,Henan Province; Engineering Technology Research Center for Computing Intelligence & Data Mining,Henan Province) ,  Xu Jiucheng (College of Computer & Information Engineering,Henan Normal University; Engineering Lab of Intelligence Business & Internet of Things,Henan Province; Engineering Technology Research Center for Computing Intelligence & Data Mining,Henan Province)
Material： Xiaoxing Weixing Jisuanji Xitong  (Mini-Micro Systems)
Volume： 37  Issue： 8  Page： 1775-1779  Publication year： 2016 
JST Material Number： C2136A  ISSN： 1000-1220  CODEN： XWJXEH  Document type： Article
Article type： 原著論文  Country of issue： China (CHN)  Language： CHINESE (ZH)

Abstract/Point： According to the characteristi...

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Thesaurus term： redundancy(property) ,  higher dimension ,  population(ecology) ,  *gene ,  subset ,  gene expression ,  grading(ranking) ,  *mutual information content ,  algorithm
Semi thesaurus term： 分類精度 ,  スペクトルデータ ,  *遺伝子選択 ,  *粒子群最適化 , 【Automatic Indexing@JST】

Author keywords (3)： maximum neighborhood mutual information ,  particle swarm optimization ,  gene selection

JST classification (3)： Mathematical programmings  (KA03030M) ,  Process control  (KB03030P) ,  System optimization methods  (IA02050Z)

Terms in the title (5)： 近傍 ,  相互情報量 ,  粒子群最適化 ,  遺伝子選択 ,  提案