Empirical risk minimization for support vector classifiers

IEEE Transactions on Neural Networks

Volumn 14, Issue 2, 2003, Pages 296-303

  Pérez Cruz, Fernando ^a   Navia Vázquez, Angel ^a   Figueiras Vidal, Aníbal R ^a   Artés Rodríguez, Antonio ^a  

^a UNIVERSIDAD CARLOS III DE MADRID   (Spain)

Author keywords

Empirical risk minimization; Support vector machines (SVMs)

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; ITERATIVE METHODS; LAGRANGE MULTIPLIERS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; PATTERN RECOGNITION; PROBABILITY DENSITY FUNCTION;

ARBITRARY LOSS FUNCTION; EMPIRICAL RISK MINIMIZATION; GAUSSIAN PROBABILITY DENSITY FUNCTION; ITERATIVE REWEIGHTED LEAST SQUARES PROCEDURE; KARUSH-KUHN-TUCKER THEOREM; SUPPORT VECTOR CLASSIFIERS;

NEURAL NETWORKS;

EID: 0344089097     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2003.809399     Document Type: Article

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