Handling sparsity via the horseshoe

Journal of Machine Learning Research

Volumn 5, Issue , 2009, Pages 73-80

  Carvalho, Carlos M ^a   Polson, Nicholas G ^a   Scott, James G ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN FRAMEWORKS; EMPIRICAL EXPERIMENTS; LAPLACIANS; RELEVANCE VECTOR MACHINE; REPRESENTATION THEOREM; SCALE MIXTURES; SPARSE BAYESIAN LEARNING;

ARTIFICIAL INTELLIGENCE;

BENCHMARKING;

EID: 79958714651     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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