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Volumn 4005 LNAI, Issue , 2006, Pages 319-334

Discriminative learning can succeed where generative learning fails

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; MATHEMATICAL MODELS; OPTIMIZATION; PROBABILITY;

EID: 33746093282     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11776420_25     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 3
    • 33646502978 scopus 로고    scopus 로고
    • When can two unsupervised learners achieve PAC separation?
    • P. Goldberg. When Can Two Unsupervised Learners Achieve PAC Separation? In Proceedings of the 14th Annual COLT, pages 303-319, 2001.
    • (2001) Proceedings of the 14th Annual COLT , pp. 303-319
    • Goldberg, P.1
  • 5
    • 84898982939 scopus 로고    scopus 로고
    • Exploiting generative models in discriminative classifiers
    • Morgan Kaufmann
    • T. Jaakkola and D. Haussler.. Exploiting generative models in discriminative classifiers. In Advances in NIPS 11, pages 487-493. Morgan Kaufmann, 1998.
    • (1998) Advances in NIPS , vol.11 , pp. 487-493
    • Jaakkola, T.1    Haussler, D.2
  • 8
    • 1942418620 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers; A comparison of logistic regression and naive bayes
    • A. Y. Ng and M. I. Jordan. On discriminative vs. generative classifiers; A comparison of logistic regression and naive bayes. NIPS, 2001.
    • (2001) NIPS
    • Ng, A.Y.1    Jordan, M.I.2
  • 9
    • 84898946653 scopus 로고    scopus 로고
    • Classification with hybrid generative/discriminative models
    • R. Raina, Y. Shen, A. Y. Ng, and A. McCallum. Classification with hybrid generative/discriminative models. NIPS, 2004.
    • (2004) NIPS
    • Raina, R.1    Shen, Y.2    Ng, A.Y.3    McCallum, A.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.