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Volumn 22, Issue , 2012, Pages 173-181

On sparse, spectral and other parameterizations of binary probabilistic models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; HIGHER ORDER STATISTICS; PARAMETERIZATION;

EID: 84891371696     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (24)
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    • Penalized likelihood for sparse contingency tables with an application to full-length cDNA libraries
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  • 7
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    • Kernel methods for multi-labelled classification and categorical regression problems
    • Andre Elisseeff and Jason Weston. Kernel methods for multi-labelled classification and categorical regression problems. In Neural Information Processing Systems, 2002.
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    • Elisseeff, A.1    Weston, J.2
  • 9
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    • Describing disability through individual-level mixture models for multivariate binary data
    • Elena A. Erosheva, Stephen E. Fienberg, and Cyrille Joutard. Describing disability through individual-level mixture models for multivariate binary data. Annals of Applied Statistics, 1(2):502-537, 2007.
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    • Erosheva, E.A.1    Fienberg, S.E.2    Joutard, C.3
  • 10
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    • Eigentaste: A constant time collaborative filtering algorithm
    • Ken Goldberg, Theresa Roeder, Dhruv Gupta, and Chris Perkins. Eigentaste: A constant time collaborative filtering algorithm. Inf. Retrieval, 4(2):133-151, 2001.
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    • On learning discrete graphical models using group-sparse regularization
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    • Walsh series expansions of probability distributions
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.