Fast progressive training of mixture models for model selection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7569 LNAI, Issue , 2012, Pages 194-208

  Adhikari, Prem Raj ^a   Hollmén, Jaakko ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CENTRAL PROBLEMS; CHROMOSOMAL ABERRATION; DATA DRIVEN; DATA SETS; DENSITY ESTIMATION; EXPECTATION-MAXIMIZATION ALGORITHMS; FAST APPROXIMATION; FINITE MIXTURE MODELS; FLEXIBLE MODEL; KULLBACK-LEIBLER DIVERGENCE; MISSING DATA; MIXTURE COMPONENTS; MIXTURE MODEL; MIXTURE-MODELLING; MODEL AVERAGING; MODEL SELECTION; PRIORI KNOWLEDGE; SEARCH-BASED; TWO-STAGE PROCESS;

ALGORITHMS; PARAMETER ESTIMATION;

MIXTURES;

EID: 84868106215     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33492-4_17     Document Type: Conference Paper

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