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Volumn 2016-May, Issue , 2016, Pages 2279-2283

Deep unfolding inference for supervised topic model

Author keywords

Deep unfolding; supervised topic model; variational inference

Indexed keywords


EID: 84973327160     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2016.7472083     Document Type: Conference Paper
Times cited : (10)

References (22)
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    • (2008) Advances in Neural Information Processing Systems (NIPS) , pp. 897-904
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  • 11
    • 84869186087 scopus 로고    scopus 로고
    • MedLDA: Maximum margin supervised topic models
    • J. Zhu, A. Ahmed, and E. P. Xing, "MedLDA: maximum margin supervised topic models, " Journal of Machine Learning Research, vol. 13, no. 1, pp. 2237-2278, 2012.
    • (2012) Journal of Machine Learning Research , vol.13 , Issue.1 , pp. 2237-2278
    • Zhu, J.1    Ahmed, A.2    Xing, E.P.3
  • 17
    • 33748685798 scopus 로고    scopus 로고
    • Estimating the wrong graphical model: Benefits in the computation-limited setting
    • M. J. Wainwright, "Estimating the "wrong" graphical model: benefits in the computation-limited setting, " Journal of Machine Learning Research, vol. 7, pp. 1829-1859, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1829-1859
    • Wainwright, M.J.1
  • 22
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • J. Kivinen and M. K. Warmuth, "Exponentiated gradient versus gradient descent for linear predictors, " Information and Computation, vol. 132, no. 1, pp. 1-63, 1997.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-63
    • Kivinen, J.1    Warmuth, M.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.