Learning mixtures of truncated basis functions from data

International Journal of Approximate Reasoning

Volumn 55, Issue 4, 2014, Pages 940-956

  Langseth, Helge ^a   Nielsen, Thomas D ^b   Pérez Bernabé, Inmaculada ^c   Salmerón, Antonio ^c  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b AALBORG UNIVERSITY   (Denmark)

^c UNIVERSITY OF ALMERÍA   (Spain)

Author keywords

Hybrid Bayesian networks; Learning; Mixtures of truncated basis functions

Indexed keywords

BANDWIDTH; CONVEX OPTIMIZATION; ESTIMATION; FUNCTIONS;

BASIS FUNCTIONS; CONVEX OPTIMIZATION TECHNIQUES; CUMULATIVE DISTRIBUTION FUNCTION; ESTIMATION METHODS; HYBRID BAYESIAN NETWORKS; KERNEL DENSITY ESTIMATE; LEARNING; STATE OF THE ART;

MIXTURES;

EID: 84896547634     PISSN: 0888613X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijar.2013.09.012     Document Type: Article

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