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Volumn , Issue PART 1, 2013, Pages 124-132

Gibbs max-margin topic models with fast sampling algorithms

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 84897459309     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (23)
  • 10
    • 0037399538 scopus 로고    scopus 로고
    • PAC-Bayesian stochastic model selection
    • McAllester, D. PAC-Bayesian stochastic model selection. Machine Learning, 51:5-21, 2003.
    • (2003) Machine Learning , vol.51 , pp. 5-21
    • McAllester, D.1
  • 11
    • 84952221231 scopus 로고
    • Generating random variates using transformations with multiple roots
    • Michael, J.R., Schucany, W.R., and Haas, R.W. Generating random variates using transformations with multiple roots. The American Statistician, 30(2): 88-90, 1976.
    • (1976) The American Statistician , vol.30 , Issue.2 , pp. 88-90
    • Michael, J.R.1    Schucany, W.R.2    Haas, R.W.3
  • 13
    • 79957844365 scopus 로고    scopus 로고
    • Data augmentation for support vector machines
    • Poison, N.G. and Scott, S.L. Data augmentation for support vector machines. Bayesian Analysis, 6(1): 1-24, 2011.
    • (2011) Bayesian Analysis , vol.6 , Issue.1 , pp. 1-24
    • Poison, N.G.1    Scott, S.L.2
  • 15
    • 80052119994 scopus 로고    scopus 로고
    • An architecture for parallel topic models
    • Smola, A. and Narayanamurthy, S. An architecture for parallel topic models. Very Large Data Base (VLDB), 3(1-2):703-710, 2010.
    • (2010) Very Large Data Base (VLDB) , vol.3 , Issue.1-2 , pp. 703-710
    • Smola, A.1    Narayanamurthy, S.2
  • 16
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • Smola, A. and Scholkopf, B. A tutorial on support vector regression. Statistics and Computing, 14(3):-199-222, 2003.
    • (2003) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.1    Scholkopf, B.2
  • 21
    • 71149117321 scopus 로고    scopus 로고
    • MedLDA: Maximum margin supervised topic models for regression and classification
    • Zhu, J., Ahmed, A., and Xing, E.P. MedLDA: maximum margin supervised topic models for regression and classification. In International Conference on Machine Learning (ICML), pp. 1257-1264, 2009.
    • (2009) International Conference on Machine Learning (ICML) , pp. 1257-1264
    • Zhu, J.1    Ahmed, A.2    Xing, E.P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.