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Volumn 6118 LNAI, Issue PART 1, 2010, Pages 391-402

On finding the natural number of topics with Latent Dirichlet Allocation: Some observations

Author keywords

LDA Topic SVD KL Divergence

Indexed keywords

CLASSIFICATION ACCURACY; EMPIRICAL EVIDENCE; KL-DIVERGENCE; LATENT DIRICHLET ALLOCATION; LATENT DIRICHLET ALLOCATIONS; MATRIX; MATRIX FACTORIZATIONS; NATURAL NUMBER; SYNTHETIC DATASETS;

EID: 79956316230     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-13657-3_43     Document Type: Conference Paper
Times cited : (495)

References (15)
  • 2
    • 85026972772 scopus 로고    scopus 로고
    • Probabilistic latent semantic indexing
    • Hofmann, T.: Probabilistic Latent Semantic Indexing. In: SIGIR 1999, pp. 50-57 (1999)
    • (1999) SIGIR 1999 , pp. 50-57
    • Hofmann, T.1
  • 4
    • 0033592606 scopus 로고    scopus 로고
    • Learning the parts of objects by non-negative matrix factorization
    • Lee, D.D., Sebastian Seung, H.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788-791 (1999)
    • (1999) Nature , vol.401 , Issue.6755 , pp. 788-791
    • Lee, D.D.1    Sebastian Seung, H.2
  • 5
    • 61849154516 scopus 로고    scopus 로고
    • A density-based method for adaptive LDA model selection
    • Cao, J., Xia, T., Li, J., Zhang, Y., Tang, S.: A density-based method for adaptive LDA model selection. Neurocomputing 72(7-9), 1775-1781 (2009)
    • (2009) Neurocomputing , vol.72 , Issue.7-9 , pp. 1775-1781
    • Cao, J.1    Xia, T.2    Li, J.3    Zhang, Y.4    Tang, S.5
  • 6
    • 84949479246 scopus 로고    scopus 로고
    • On the surprising behavior of distance metrics in high dimensional spaces
    • Aggarwal, C.C., Hinneburg, A., Keim, D.A.: On the Surprising Behavior of Distance Metrics in High Dimensional Spaces. In: Van den Bussche, J., Vianu, V. (eds.) ICDT 2001. LNCS, vol. 1973, pp. 420-434. Springer, Heidelberg (2000) (Pubitemid 33213340)
    • (2001) Lecture Notes in Computer Science , Issue.1973 , pp. 420-434
    • Aggarwal, C.C.1    Hinneburg, A.2    Keim, D.A.3
  • 8
    • 0000802374 scopus 로고
    • The approximation of one matrix by another of lower rank
    • Eckart, C., Young, G.: The approximation of one matrix by another of lower rank. Psychometrika 1(3), 211-218 (1936)
    • (1936) Psychometrika , vol.1 , Issue.3 , pp. 211-218
    • Eckart, C.1    Young, G.2
  • 10
    • 85052001673 scopus 로고    scopus 로고
    • Determining automatically the size of learned ontologies
    • Zavitsanos, E., Petridis, S., Paliouras, G., Vouros, G.A.: Determining Automatically the Size of Learned Ontologies. In: ECAI 2008, pp. 775-776 (2008)
    • (2008) ECAI 2008 , pp. 775-776
    • Zavitsanos, E.1    Petridis, S.2    Paliouras, G.3    Vouros, G.A.4
  • 11
    • 34547976747 scopus 로고    scopus 로고
    • Sharing clusters among related groups: Hierarchical Dirichlet Processes
    • Teh, Y.W., Jordan, M.I., Beal, M.J., Blei, D.M.: Sharing Clusters among Related Groups: Hierarchical Dirichlet Processes. In: NIPS 2004 (2004)
    • (2004) NIPS 2004
    • Teh, Y.W.1    Jordan, M.I.2    Beal, M.J.3    Blei, D.M.4
  • 13
    • 84858773678 scopus 로고    scopus 로고
    • Asynchronous distributed learning of topic models
    • bibliographical record in XML Arthur Asuncion
    • Smyth, P., Welling, M.: Asynchronous Distributed Learning of Topic Models. In: NIPS 2008, pp. 81-88 (2008) (bibliographical record in XML Arthur Asuncion)
    • (2008) NIPS 2008 , pp. 81-88
    • Smyth, P.1    Welling, M.2
  • 14
    • 34250760344 scopus 로고    scopus 로고
    • Pachinko allocation: DAG-structured mixture models of topic correlations
    • Li, W., McCallum, A.: Pachinko allocation: DAG-structured mixture models of topic correlations. In: ICML 2006, pp. 577-584 (2007)
    • (2007) ICML 2006 , pp. 577-584
    • Li, W.1    McCallum, A.2
  • 15
    • 79956321012 scopus 로고    scopus 로고
    • http://www.cs.princeton.edu/~blei/lda-c/
    • http://archive.ics.uci.edu/ml/datasets/Bag+of+Words,http://www.cs. princeton.edu/~blei/lda-c/


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.