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Volumn 27, Issue , 2006, Pages 25-53

Generative prior knowledge for discriminative classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER PROGRAMMING; DATABASE SYSTEMS; ITERATIVE METHODS; PROBLEM SOLVING; SEMANTICS; VECTORS;

EID: 33750590215     PISSN: 10769757     EISSN: 10769757     Source Type: Journal    
DOI: 10.1613/jair.1934     Document Type: Article
Times cited : (10)

References (37)
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    • (2004) NIPS
    • Bhattacharyya, C.1    Pannagadatta, K.S.2    Smola, A.3
  • 10
    • 33745908406 scopus 로고    scopus 로고
    • Object classification from a single example utilizing class relevance metrics
    • Fink, M. (2004). Object classification from a single example utilizing class relevance metrics. In Advances in Neural Information Processing Systems.
    • (2004) Advances in Neural Information Processing Systems
    • Fink, M.1
  • 14
    • 29144534131 scopus 로고    scopus 로고
    • Convergence theorems for generalized alternating minimization procedures
    • Gunawardana, A., & Byrne, W. (2005). Convergence theorems for generalized alternating minimization procedures. Journal of Machine Learning Research, 6, 2049-2073.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 2049-2073
    • Gunawardana, A.1    Byrne, W.2
  • 24
    • 1942418620 scopus 로고    scopus 로고
    • On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
    • Ng, A. Y., & Jordan, M. I. (2001). On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes. In Advances in Neural Information Processing Systems.
    • (2001) Advances in Neural Information Processing Systems
    • Ng, A.Y.1    Jordan, M.I.2
  • 26
    • 21244467519 scopus 로고    scopus 로고
    • On discriminative bayesian network classifiers and logistic regression
    • Roos, T., Wettig, H., Grunwald, P., Myllymaki, P., & Tirri, H. (2005). On discriminative bayesian network classifiers and logistic regression. Machine Learning, 59, 267-296.
    • (2005) Machine Learning , vol.59 , pp. 267-296
    • Roos, T.1    Wettig, H.2    Grunwald, P.3    Myllymaki, P.4    Tirri, H.5
  • 28
    • 0033296299 scopus 로고    scopus 로고
    • Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones
    • Sturm, J. F. (1999). Using SeDuMi 1.02, a MATLAB toolbox for optimization over symmetric cones. Optimization Methods and Software, 11, 625-653.
    • (1999) Optimization Methods and Software , vol.11 , pp. 625-653
    • Sturm, J.F.1
  • 32
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • Tipping, M. E. (2001). Sparse bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1, 211-244.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1
  • 37
    • 0014571694 scopus 로고
    • Convergence conditions for nonlinear programming algorithms
    • Zangwill, W. (1969). Convergence conditions for nonlinear programming algorithms. Management Science, 16, 1-13.
    • (1969) Management Science , vol.16 , pp. 1-13
    • Zangwill, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.