Regularized maximum correntropy machine

Neurocomputing

Volumn 160, Issue , 2015, Pages 85-92

  Wang, Jim Jing Yan ^a   Wang, Yunji ^b   Jing, Bing Yi ^c   Gao, Xin ^a  

^a KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Saudi Arabia)

^b The University of Texas at San Antonio   (United States)

^c HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Label noise; Maximum correntropy criteria; Pattern classification; Regularization

Indexed keywords

PATTERN RECOGNITION; SAMPLING;

CLASS LABELS; CORRENTROPY; LEARNING PROBLEM; LOSS FUNCTIONS; NOISY LABELS; OBJECTIVE FUNCTIONS; REGULARIZATION; TRAINING SAMPLE;

LEARNING ALGORITHMS;

ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; CLASSIFICATION; DATA PROCESSING; EXPERIMENT; INTERMETHOD COMPARISON; MACHINE LEARNING; MAXIMUM CORRENTROPY CRITERIA FRAMEWORK; NOISE; PATTERN RECOGNITION; PREDICTION; PRIORITY JOURNAL; PROBLEM SOLVING; PROCESS OPTIMIZATION; TRAINING; VALIDATION PROCESS;

EID: 84927968712     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.09.080     Document Type: Article

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