Use of support vector machine in pattern classification: Application to QSAR studies

Quantitative Structure-Activity Relationships

Volumn 20, Issue 3, 2001, Pages 227-240

  Czermiski, Ryszard ^a   Yasri, Abdelaziz ^a   Hartsough, David ^a  

^a ARQULE INC   (United States)

Author keywords

ANN; Classification; Cross validation; QSAR; SVM

Indexed keywords

BIOACTIVITY; COMPUTATIONAL CHEMISTRY; MOLECULAR GRAPHICS; SUPPORT VECTOR MACHINES;

BIOLOGICAL DATA; CROSS VALIDATION; MACHINE LEARNING COMMUNITIES; MACHINE PERFORMANCE; PATTERNS CLASSIFICATION; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDIES; REGRESSION PROBLEM; SUPPORT VECTORS MACHINE; WORKERS';

NEURAL NETWORKS;

ANTIHISTAMINIC AGENT; ANTIINFECTIVE AGENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; DRUG ACTIVITY; EVALUATION; MOLECULAR MODEL; PERFORMANCE; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; SIMULATION; SUPPORT VECTOR MACHINE; TECHNIQUE;

EID: 0035150169     PISSN: 09318771     EISSN: None     Source Type: Journal    
DOI: 10.1002/1521-3838(200110)20:3<227::AID-QSAR227>3.0.CO;2-Y     Document Type: Article

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