Feature Selection for High-Dimensional Data Based on Ridge Regression and SVM and Its Application in Peptide QSAR Modeling

Authors :: Han Na
Utilization, Changsha , P. R. China
Insect Pests, Changsha, P. R. China
Yuan Zhe-Ming
WU Zhao-hua
Wang Zhi-ming
Source :: Acta Physico-Chimica Sinica. 29:498-507
Publication Year :: 2013
Publisher :: Acta Physico-Chimica Sinica & University Chemistry Editorial Office, Peking University, 2013.

Subjects :: Support vector machine
Clustering high-dimensional data
Quantitative structure–activity relationship
Computer science
business.industry
Ridge (meteorology)
Pattern recognition
Feature selection
Artificial intelligence
Physical and Theoretical Chemistry
business
Regression

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