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Volumn 197, Issue , 2009, Pages

Sparse linear models: Variational approximate inference and Bayesian experimental design

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[No Author keywords available]

Indexed keywords


EID: 74349098311     PISSN: 17426588     EISSN: 17426596     Source Type: Conference Proceeding    
DOI: 10.1088/1742-6596/197/1/012001     Document Type: Conference Paper
Times cited : (9)

References (40)
  • 9
    • 74349106065 scopus 로고    scopus 로고
    • ed McCallum A, Roweis S and Silva R (Omni Press)
    • Seeger M and Nickisch H 2008 Int. Conf. on Machine Learning vol 25 ed McCallum A, Roweis S and Silva R (Omni Press)
    • (2008) , vol.25
    • Seeger, M.1    Nickisch, H.2
  • 13
    • 71149097861 scopus 로고    scopus 로고
    • ed Bottou L and Littman M (Omni Press)
    • Nickisch H and Seeger M 2009 Int. Conf. on Machine Learning vol 26 ed Bottou L and Littman M (Omni Press) p 761-8
    • (2009) , vol.26 , pp. 761-768
    • Nickisch, H.1    Seeger, M.2
  • 14
    • 74349096743 scopus 로고    scopus 로고
    • Large scale variational inference and experimental design for sparse generalized linear models
    • Seeger M and Nickisch H 2008 Large scale variational inference and experimental design for sparse generalized linear models Tech. Re 175 MPI Biological Cybernetics
    • (2008) Tech. Rep 175 MPI Biological Cybernetics , pp. 175
    • Seeger, M.1    Nickisch, H.2
  • 39
    • 74349126444 scopus 로고    scopus 로고
    • ed Ghahramani Z (Omni Press)
    • Ji S and Carin L 2007 Int. Conf. on Machine Learning vol 24 ed Ghahramani Z (Omni Press)
    • (2007) , vol.24
    • Ji, S.1    Carin, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.