Boosting in block variable subspaces: An approach of additive modeling for structure–activity relationship-Reference-Cited by-同舟云学术

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Boosting in block variable subspaces: An approach of additive modeling for structure–activity relationship

Published:2016-03 Issue: Volume:152 Page:134-139
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Xu Qing-Song,Xu Jian,Cao Dong-Sheng,Liang Yi-Zeng

Funder

National Nature Foundation Committee of P.R. China

Mathematics and Interdisciplinary Sciences Project

Innovation Program of Central South University

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference36 articles.

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3. Genetic Algorithms in Search, Optimization and Machine Learning;Goldberg,1989

4. Prediction of gas chromatographic retention indices of alkylbenzenes;Sutter;Anal. Chim. Acta,1997

5. Modeling based on subspace orthogonal projections for QSAR and QSPR research;Liang;J. Chemom.,2008

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