
A Novel Method of Nonlinear Rapid Feature Selection for High Dimensional Data and Its Application in Peptide QSAR Modeling Based on Support Vector Machine
Author(s) -
Zhijun Dai,
长沙 湖南农业大学生物安全科学技术学院,
Wei Zhou,
Zhigang Yuan,
Changsha Utilization
Publication year - 2011
Publication title -
wuli huaxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.396
H-Index - 37
ISSN - 1000-6818
DOI - 10.3866/pku.whxb20110735
Subject(s) - quantitative structure–activity relationship , feature selection , support vector machine , selection (genetic algorithm) , computer science , nonlinear system , artificial intelligence , feature (linguistics) , machine learning , data mining , pattern recognition (psychology) , physics , quantum mechanics , linguistics , philosophy