Improving support vector machine classifiers by modifying kernel functions

Neural Networks

Volumn 12, Issue 6, 1999, Pages 783-789

  Amari, S ^a   Wu, S ^a  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

Author keywords

Information geometry; Kernel Adatron; Kernel function; Nonlinear classification; Pattern classification; Radial basis function; Riemannian geometry; Support vector machine

Indexed keywords

COMPUTATIONAL GEOMETRY; COMPUTER SIMULATION; CONFORMAL MAPPING; NEURAL NETWORKS;

RADIAL BASIS FUNCTIONS (RBF); RIEMANNIAN GEOMETRY; SUPPORT VECTOR MACHINE (SVM) CLASSIFIERS;

PATTERN RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; GEOMETRY; MATHEMATICS; PATTERN RECOGNITION; PRIORITY JOURNAL; SIMULATION; THEORETICAL STUDY; TRAINING;

EID: 0032786569     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(99)00032-5     Document Type: Article

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