Feature Selection for High-Dimensional Data Based on Ridge Regression and SVM and Its Application in Peptide QSAR Modeling-Reference-Cited by-同舟云学术

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

Published:2013 Issue:03 Volume:29 Page:498-507
ISSN:1000-6818
Container-title:Acta Physico-Chimica Sinica
language:en
Short-container-title:

Author:

Zhi-Ming WANG, ,Na HAN,Zhe-Ming YUAN,Zhao-Hua WU, ,

Publisher

Acta Physico-Chimica Sinica & University Chemistry Editorial Office, Peking University

Subject

Physical and Theoretical Chemistry

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Psychophysiological Arousal in Young Children Who Stutter;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2022-09-06

3. Application of the Monte Carlo Method for the Prediction of Behavior of Peptides;Current Protein & Peptide Science;2019-12-16

4. A novel measure of attribute significance with complexity weight;Applied Soft Computing;2019-09

5. Structural risk minimization of rough set-based classifier;Soft Computing;2019-05-13

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