Stability approach to regularization selection (StARS) for high dimensional graphical models

Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010

Volumn , Issue , 2010, Pages

  Liu, Han ^a   Roeder, Kathryn ^a   Wasserman, Larry ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; PARAMETERIZATION; SPEECH RECOGNITION; STARS; UNDIRECTED GRAPHS;

AKAIKE'S INFORMATION CRITERIONS; BAYESIAN INFORMATION CRITERION; CONDITION; DATA DEPENDENT; GRAPHICAL MODEL; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; K FOLD CROSS VALIDATIONS; REGULARISATION; REGULARIZATION PARAMETERS;

GRAPHIC METHODS;

EID: 85162067025     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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