Ml-rbf: RBF Neural Networks for Multi-Label Learning

Neural Processing Letters

Volumn 29, Issue 2, 2009, Pages 61-74

  Zhang, Min Ling ^a,b  

^a HOHAI UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

K means clustering; Machine learning; Multi label learning; Radial basis function

Indexed keywords

ATTITUDE CONTROL; CLUSTER ANALYSIS; EDUCATION; LABELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; ROBOT LEARNING; WATER SUPPLY SYSTEMS;

BASIS FUNCTIONS; CLUSTERING ANALYSIS; DATA SETS; ERROR FUNCTIONS; K-MEANS CLUSTERING; LABEL SETS; LEARNING PARADIGMS; MACHINE LEARNING; MULTI-LABEL LEARNING; MULTIPLE LABELS; PROTOTYPE VECTORS; RADIAL BASIS FUNCTION; RBF NEURAL NETWORKS; REAL-WORLD; SECOND LAYERS; SUM-OF-SQUARES;

LEARNING ALGORITHMS;

EID: 62649132781     PISSN: 13704621     EISSN: 1573773X     Source Type: Journal    
DOI: 10.1007/s11063-009-9095-3     Document Type: Article

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