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Volumn 2430, Issue , 2002, Pages 124-134

Using hard classifiers to estimate conditional class probabilities

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING; PROBABILITY;

EID: 84945268900     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36755-1_11     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 1
    • 0000234257 scopus 로고
    • The evidence framework applied to classification networks
    • MacKay, D. J. C.: The evidence framework applied to classification networks. Neural Computation 4 (1992) 720-736.
    • (1992) Neural Computation , vol.4 , pp. 720-736
    • MacKay, D.J.C.1
  • 2
    • 0003243224 scopus 로고    scopus 로고
    • Probabilities for SV machines
    • Smola, A.J., Bartlett, P., Schölkopf, B., Schuurmans, D. (eds.), MIT Press
    • Platt, J. C.: Probabilities for SV machines. In: Smola, A.J., Bartlett, P., Schölkopf, B., Schuurmans, D. (eds.): Advances in Large Margin Classifiers, MIT Press (2000) 61-74.
    • (2000) Advances in Large Margin Classifiers , pp. 61-74
    • Platt, J.C.1
  • 3
    • 0242516946 scopus 로고
    • Multivariate function and operator estimation, based on smoothing splines and reproducing kernels
    • Casdagli, M., Eubank, S. (eds.), Addison-Wesley
    • Wahba, G.: Multivariate function and operator estimation, based on smoothing splines and reproducing kernels. In: Casdagli, M., Eubank, S. (eds.): Nonlinear Modeling and Forecasting, SFI Studies in the Sciences of Complexity, Proc. Vol. XII, Addison-Wesley (1992) 95-112.
    • (1992) Nonlinear Modeling and Forecasting, SFI Studies in the Sciences of Complexity, Proc. Vol. XII , pp. 95-112
    • Wahba, G.1
  • 4
    • 0001873883 scopus 로고    scopus 로고
    • Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV
    • Schölkopf, B., Burges, C. J. C., Smola, A. J. (eds.), MIT Press
    • Wahba, G.: Support vector machines, reproducing kernel Hilbert spaces and the randomized GACV. In: Schölkopf, B., Burges, C. J. C., Smola, A. J. (eds.): Advances in Kernel Methods - Support Vector Learning, MIT Press (1999) 69-88.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 69-88
    • Wahba, G.1
  • 5
    • 0001224048 scopus 로고    scopus 로고
    • Sparse Bayesian learning and the relevance vector machine
    • Tipping, M.: Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research 1 (2001) 211-244.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.1
  • 7
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • Blake, C. L., Merz, C. J.: UCI Repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science (1998). URL: http://www.ics.uci.edu/~mlearn/MLRepository.html.
    • (1998) UCI Repository of machine learning databases
    • Blake, C.L.1    Merz, C.J.2
  • 8
    • 84945302024 scopus 로고    scopus 로고
    • CRUISE v 1.09 web page
    • Loh, W.-Y.: CRUISE v 1.09 web page. URL:http://www.stat.wisc.edu/~loh/cruise.html.
    • Loh, W.-Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.