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Volumn 28, Issue 11-12, 2009, Pages 1509-1523

Multi-objective feature selection in QSAR using a machine learning approach

Author keywords

Bayesian regularized neural networks; Computational chemistry; Descriptor selection; Medicinal chemistry; Multi objective evolutionary algorithms

Indexed keywords

ARTICLE; BLOOD BRAIN BARRIER; FEATURE SELECTION; HYDROPHOBICITY; INTESTINE ABSORPTION; MACHINE LEARNING; METHODOLOGY; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; STATISTICAL MODEL;

EID: 76049126653     PISSN: 1611020X     EISSN: 16110218     Source Type: Journal    
DOI: 10.1002/qsar.200960053     Document Type: Article
Times cited : (42)

References (64)
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  • 40
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    • Evolutionary Algorithms for Solving Multi-Objective Problems (Eds: C. A. Coello Coello, G. B. Lamont, D. A. Van Veldhuizen), Springer Science&Business Media, LLC, New York, 2007.
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  • 41
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.