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Volumn 1, Issue , 2006, Pages 268-275

Discriminative learning of mixture of bayesian network classifiers for sequence classification

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORK CLASSIFIERS (BNC); DISCRIMINATIVE LEARNING; SEQUENCE CLASSIFICATION;

EID: 33845575888     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2006.101     Document Type: Conference Paper
Times cited : (11)

References (23)
  • 5
    • 84962163401 scopus 로고    scopus 로고
    • Individual recognition from periodic activity using hidden Markov models
    • Q. He and C. Debrunner. Individual recognition from periodic activity using hidden Markov models, 2000. Workshop on Human Motion.
    • (2000) Workshop on Human Motion
    • He, Q.1    Debrunner, C.2
  • 6
    • 0003704318 scopus 로고    scopus 로고
    • Irvine, CA. University of California, Dept. of Information and Computer Science
    • S. Hettich and S. D. Bay. The UCI KDD archive [http://kdd.ics.uci.edu], 1999. Irvine, CA. University of California, Dept. of Information and Computer Science.
    • (1999) The UCI KDD Archive
    • Hettich, S.1    Bay, S.D.2
  • 8
    • 31844453166 scopus 로고    scopus 로고
    • Efficient discriminative learning of bayesian network classifier via boosted augmented naive bayes
    • Y. Jing, V. Pavlovic, and J. M. Rehg. Efficient discriminative learning of Bayesian Network Classifier via boosted augmented Naive Bayes, 2005. International Conference on Machine Learning.
    • (2005) International Conference on Machine Learning.
    • Jing, Y.1    Pavlovic, V.2    Rehg, J.M.3
  • 9
    • 0022018101 scopus 로고
    • A probabilistic distance measure for hidden Markov models
    • B. H. Juang and L. R. Rabiner. A probabilistic distance measure for hidden Markov models, 1985. AT&T Technical Journal.
    • (1985) AT&T Technical Journal
    • Juang, B.H.1    Rabiner, L.R.2
  • 10
    • 8444253538 scopus 로고    scopus 로고
    • Riverside CA. University of California - Computer Science & Engineering Department
    • E. Keogh and T. Folias. The UCR time series data mining archive [http://www.cs.ucr.edu/~eamonn/TSDMA/], 2002. Riverside CA. University of California - Computer Science & Engineering Department.
    • (2002) The UCR Time Series Data Mining Archive
    • Keogh, E.1    Folias, T.2
  • 18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.