Inductive vs transductive inference, global vs local models: SVM, TSVM, and SVMT for gene expression classification problems

IEEE International Conference on Neural Networks - Conference Proceedings

Volumn 2, Issue , 2004, Pages 1197-1202

  Pang, Shaoning ^a   Kasabov, Nikola ^a  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

Author keywords

Cancer; Gene expression classification; SVM; SVM trees; Transductive SVM

Indexed keywords

GENE EXPRESSION CLASSIFICATION; SVM; SVM TREES; TRANSDUCTIVE SVM;

ALGORITHMS; APPROXIMATION THEORY; BENCHMARKING; CONSTRAINT THEORY; FUZZY SETS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MEDICAL APPLICATIONS; NEURAL NETWORKS; PROBLEM SOLVING; TREES (MATHEMATICS); TUMORS;

GENES;

EID: 10944232611     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2004.1380112     Document Type: Conference Paper

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