Training sparse MS-SVR with an expectation-maximization algorithm

Neurocomputing

Volumn 69, Issue 13-15, 2006, Pages 1659-1664

  Zheng, D N ^a   Wang, J X ^a   Zhao, Y N ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Expectation maximization (EM) algorithm; Hierarchical Bayes model; Maximum a posteriori (MAP) estimation; Multi scale support vector regression (MS SVR)

Indexed keywords

MATHEMATICAL MODELS; OPTIMIZATION; QUADRATIC PROGRAMMING;

EXPECTATION-MAXIMIZATION ALGORITHM; HIERARCHICAL-BAYES MODEL; MAXIMUM A POSTERIORI ESTIMATION; MULTI-SCALE SUPPORT VECTOR REGRESSION;

LEARNING SYSTEMS;

ALGORITHM; ANALYTICAL PARAMETERS; ARTICLE; BAYES THEOREM; CONTROLLED STUDY; EXPECTATION; INTERMETHOD COMPARISON; MULTISCALE VECTOR SUPPORT REGRESSION; NORMAL DISTRIBUTION; PERFORMANCE; PRIORITY JOURNAL; PROBLEM SOLVING; REGRESSION ANALYSIS; SAMPLE SIZE; TIME;

EID: 33745218747     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2006.02.002     Document Type: Article

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