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Volumn 4093 LNAI, Issue , 2006, Pages 517-524

A fast implementation of the em algorithm for mixture of multinomials

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; DATA REDUCTION; DATA STRUCTURES; INFORMATION ANALYSIS; DATA MINING; MIXTURES;

EID: 33749409949     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11811305_57     Document Type: Conference Paper
Times cited : (2)

References (17)
  • 3
    • 84899029127 scopus 로고    scopus 로고
    • Very fast EM-based mixture model clustering using multiresolution kdtrees
    • Kearns, M., Cohn, D., eds.: 340 Pine Street, 6th Fl., San Francisco, CA 94104, Morgan Kaufman
    • Moore, A.: Very fast EM-based mixture model clustering using multiresolution kdtrees. In Kearns, M., Cohn, D., eds.: Advances in Neural Information Processing Systems, 340 Pine Street, 6th Fl., San Francisco, CA 94104, Morgan Kaufman (1999) 543-549
    • (1999) Advances in Neural Information Processing Systems , pp. 543-549
    • Moore, A.1
  • 7
    • 0002788893 scopus 로고    scopus 로고
    • A view of the em algorithm that justifies incremental, sparse, and other variants
    • Jordan, M.I., ed.: Kluwer
    • Neal, R., Hinton, G.: A view of the EM algorithm that justifies incremental, sparse, and other variants. In Jordan, M.I., ed.: Learning in Graphical Models, Kluwer (1998)
    • (1998) Learning in Graphical Models
    • Neal, R.1    Hinton, G.2
  • 16
    • 84941163036 scopus 로고    scopus 로고
    • UCI-KDD-archive: msnbc.com, University of California, Irvine
    • UCI-KDD-archive: (msnbc.com, University of California, Irvine, http://kdd.ics.uci.edu/)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.