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Volumn 227, Issue , 2007, Pages 409-416

A recursive method for discriminative mixture learning

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRADIENT METHODS; MATHEMATICAL MODELS; OPTIMIZATION; PROBLEM SOLVING; RECURSIVE FUNCTIONS;

EID: 34547963844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273548     Document Type: Conference Paper
Times cited : (4)

References (21)
  • 4
    • 0003591748 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Technical Report, Dept. of Statistics, Stanford University
    • Friedman, J. (1999). Greedy function approximation: a gradient boosting machine. Technical Report, Dept. of Statistics, Stanford University.
    • (1999)
    • Friedman, J.1
  • 8
    • 0003704318 scopus 로고    scopus 로고
    • University of California, Information and Computer Science
    • Hettich, S., & Bay, S. D. (1999). The UCI KDD Archive (http://kdd.ics.uci.edu). Irvine, University of California, Information and Computer Science.
    • (1999) The UCI KDD Archive
    • Hettich, S.1    Bay, S.D.2
  • 10
    • 31844453166 scopus 로고    scopus 로고
    • Efficient discriminative learning of Bayesian Network Classifier via boosted augmented Naive Bayes
    • Jing, Y., Pavlovic, V., & Rehg, J. M. (2005). Efficient discriminative learning of Bayesian Network Classifier via boosted augmented Naive Bayes. International Conference on Machine Learning.
    • (2005) International Conference on Machine Learning
    • Jing, Y.1    Pavlovic, V.2    Rehg, J.M.3
  • 11
    • 34547988001 scopus 로고    scopus 로고
    • Keogh, E., & Folias, T. (2002). University of California at Riverside Time Series Data Mining Archive (http://www.cs.ucr.edu/~eamonn/TSDMA).
    • Keogh, E., & Folias, T. (2002). University of California at Riverside Time Series Data Mining Archive (http://www.cs.ucr.edu/~eamonn/TSDMA).
  • 12
    • 34547982611 scopus 로고    scopus 로고
    • Mason, L., Baxter, J., Bartlett, P., & Frean, M. (1999). Functional gradient techniques for combining hypotheses. In Advances in Large Margin Classifiers, MIT Press.
    • Mason, L., Baxter, J., Bartlett, P., & Frean, M. (1999). Functional gradient techniques for combining hypotheses. In Advances in Large Margin Classifiers, MIT Press.
  • 15
    • 31844434495 scopus 로고    scopus 로고
    • Discriminative versus generative parameter and structure learning of Bayesian Network Classifiers
    • Pernkopf, F., & Bilmes, J. (2005). Discriminative versus generative parameter and structure learning of Bayesian Network Classifiers. International Conference on Machine Learning.
    • (2005) International Conference on Machine Learning
    • Pernkopf, F.1    Bilmes, J.2
  • 16
    • 34547971250 scopus 로고    scopus 로고
    • Platt, J. (1999). Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, MIT Press.
    • Platt, J. (1999). Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In Advances in Large Margin Classifiers, MIT Press.
  • 18
    • 84864038630 scopus 로고    scopus 로고
    • Large margin hidden Markov models for automatic speech recognition
    • Sha, F., & Saul, L. K. (2007). Large margin hidden Markov models for automatic speech recognition. Neural Information Processing Systems.
    • (2007) Neural Information Processing Systems
    • Sha, F.1    Saul, L.K.2
  • 21
    • 0036461035 scopus 로고    scopus 로고
    • Large scale discriminative training of hidden Markov models for speech recognition
    • Woodland, P., & Povey, D. (2002). Large scale discriminative training of hidden Markov models for speech recognition. Computer Speech and Language.
    • (2002) Computer Speech and Language
    • Woodland, P.1    Povey, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.