Support vector machine based on universal kernel function and its application in quantitative structure - toxicity relationship model

Proceedings - 2009 International Forum on Information Technology and Applications, IFITA 2009

Volumn 3, Issue , 2009, Pages 708-711

  Zheng, Qifu ^a   Huang, Haifeng ^a   Zhang, Youzheng ^a   Su, Guodong ^a  

^a ZHEJIANG UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Function; Nonlinear modeling; Person VII function; Quantitative structure toxicity relationship; Support vector machine; Universal kernel

Indexed keywords

GENERALIZATION PERFORMANCE; HIGH-DIMENSIONAL FEATURE SPACE; KERNEL FUNCTION; LINEAR REGRESSION PROBLEMS; NON-LINEAR REGRESSION; NONLINEAR INPUTS; NONLINEAR MODELING; OPTIMIZATION PROCEDURES; PERSON VII FUNCTION; PREDICTION PERFORMANCE; QUANTITATIVE STRUCTURE-TOXICITY RELATIONSHIP; QUANTITATIVE STRUCTURES; RELATIONSHIP MODEL; STATISTICAL MODELING; SVM MODEL; TRAINING PROCESS; UNIVERSAL KERNEL; VIBRIO FISCHERI;

IMAGE RETRIEVAL; INFORMATION TECHNOLOGY; MODEL BUILDINGS; MULTILAYER NEURAL NETWORKS; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; SULFUR COMPOUNDS; TOXICITY; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 70350544205     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFITA.2009.256     Document Type: Conference Paper

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