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Volumn 7523 LNAI, Issue PART 1, 2012, Pages 490-505

Fully sparse topic models

Author keywords

[No Author keywords available]

Indexed keywords

INFERENCE ALGORITHM; LINEAR TIME; PARALLEL IMPLEMENTATIONS; PERFORMANCE MEASURE; RUNNING TIME; SPARSE MATRICES; TOPIC MODEL; TRADE OFF;

EID: 84866872818     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33460-3_37     Document Type: Conference Paper
Times cited : (36)

References (20)
  • 2
    • 85162005069 scopus 로고    scopus 로고
    • Online learning for latent dirichlet allocation
    • Hoffman, M.D., Blei, D.M., Bach, F.: Online learning for latent dirichlet allocation. In: NIPS, vol. 23, pp. 856-864 (2010)
    • (2010) NIPS , vol.23 , pp. 856-864
    • Hoffman, M.D.1    Blei, D.M.2    Bach, F.3
  • 4
    • 78649698593 scopus 로고    scopus 로고
    • Asynchronous distributed estimation of topic models for document analysis
    • Asuncion, A.U., Smyth, P., Welling, M.: Asynchronous distributed estimation of topic models for document analysis. Statistical Methodology 8(1), 3-17 (2011)
    • (2011) Statistical Methodology , vol.8 , Issue.1 , pp. 3-17
    • Asuncion, A.U.1    Smyth, P.2    Welling, M.3
  • 5
    • 80052122601 scopus 로고    scopus 로고
    • Regularized latent semantic indexing
    • ACM
    • Wang, Q., Xu, J., Li, H., Craswell, N.: Regularized latent semantic indexing. In: SIGIR 2011, pp. 685-694. ACM (2011)
    • (2011) SIGIR 2011 , pp. 685-694
    • Wang, Q.1    Xu, J.2    Li, H.3    Craswell, N.4
  • 6
    • 70350637398 scopus 로고    scopus 로고
    • PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications
    • Goldberg, A.V., Zhou, Y. (eds.) AAIM 2009. Springer, Heidelberg
    • Wang, Y., Bai, H., Stanton, M., Chen,W.-Y., Chang, E.Y.: PLDA: Parallel Latent Dirichlet Allocation for Large-Scale Applications. In: Goldberg, A.V., Zhou, Y. (eds.) AAIM 2009. LNCS, vol. 5564, pp. 301-314. Springer, Heidelberg (2009)
    • (2009) LNCS , vol.5564 , pp. 301-314
    • Wang, Y.1    Bai, H.2    Stanton, M.3    Chen, W.-Y.4    Chang, E.Y.5
  • 9
    • 85046032701 scopus 로고    scopus 로고
    • Sparse overcomplete latent variable decomposition of counts data
    • Shashanka, M., Raj, B., Smaragdis, P.: Sparse overcomplete latent variable decomposition of counts data. In: NIPS (2007)
    • (2007) NIPS
    • Shashanka, M.1    Raj, B.2    Smaragdis, P.3
  • 10
    • 80053134572 scopus 로고    scopus 로고
    • Sparse topical coding
    • Zhu, J., Xing, E.P.: Sparse topical coding. In: UAI (2011)
    • (2011) UAI
    • Zhu, J.1    Xing, E.P.2
  • 11
    • 77956537774 scopus 로고    scopus 로고
    • The ibp compound dirichlet process and its application to focused topic modeling
    • Williamson, S., Wang, C., Heller, K.A., Blei, D.M.: The ibp compound dirichlet process and its application to focused topic modeling. In: ICML (2010)
    • (2010) ICML
    • Williamson, S.1    Wang, C.2    Heller, K.A.3    Blei, D.M.4
  • 12
    • 77956499537 scopus 로고    scopus 로고
    • Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process
    • Wang, C., Blei, D.M.: Decoupling sparsity and smoothness in the discrete hierarchical dirichlet process. In: NIPS, vol. 22, pp. 1982-1989 (2009)
    • (2009) NIPS , vol.22 , pp. 1982-1989
    • Wang, C.1    Blei, D.M.2
  • 13
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • Hofmann, T.: Unsupervised learning by probabilistic latent semantic analysis. Machine Learning 42, 177-196 (2001)
    • (2001) Machine Learning , vol.42 , pp. 177-196
    • Hofmann, T.1
  • 14
    • 77956546378 scopus 로고    scopus 로고
    • Coresets, sparse greedy approximation, and the frank-wolfe algorithm
    • Clarkson, K.L.: Coresets, sparse greedy approximation, and the frank-wolfe algorithm. ACM Trans. Algorithms 6, 63:1-63:30 (2010)
    • (2010) ACM Trans. Algorithms , vol.6
    • Clarkson, K.L.1
  • 15
    • 17444406259 scopus 로고    scopus 로고
    • Smooth minimization of non-smooth functions
    • Nesterov, Y.: Smooth minimization of non-smooth functions. Mathematical Programming 103(1), 127-152 (2005)
    • (2005) Mathematical Programming , vol.103 , Issue.1 , pp. 127-152
    • Nesterov, Y.1
  • 16
    • 84862283078 scopus 로고    scopus 로고
    • An optimal method for stochastic composite optimization
    • Lan, G.: An optimal method for stochastic composite optimization. Mathematical Programming, 1-33 (2011)
    • (2011) Mathematical Programming , pp. 1-33
    • Lan, G.1
  • 18
    • 0000177088 scopus 로고    scopus 로고
    • Key concepts in model selection: Performance and generalizability
    • Forster, M.R.: Key concepts in model selection: Performance and generalizability. Journal of Mathematical Psychology 44(1), 205-231 (2000)
    • (2000) Journal of Mathematical Psychology , vol.44 , Issue.1 , pp. 205-231
    • Forster, M.R.1


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