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Volumn 22, Issue , 2012, Pages 619-627

Bayesian classifier combination

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84901947678     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (232)

References (26)
  • 2
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    • Irvine, CA: University of California Department of Information and Computer Science
    • Blake, C. L., Merz, C. J., 1998. UCI Repository of machine learning databases. Irvine, CA: University of California, Department of Information and Computer Science.
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.L.1    Merz, C.J.2
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • August
    • Breiman, L., August 1996. Bagging predictors. Machine Learning 24, 123-140.
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    • Breiman, L.1
  • 4
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • October
    • Breiman, L., October 2001. Random forests. Machine Learning 45, 5-32.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1
  • 5
    • 0003102944 scopus 로고
    • Maximum likelihood estimation of observer error-rates using the em algorithm
    • Dawid, A., Skene, A., 1979. Maximum Likelihood Estimation of Observer Error-rates using the EM Algorithm. Applied Statistics 28, 20-28.
    • (1979) Applied Statistics , vol.28 , pp. 20-28
    • Dawid, A.1    Skene, A.2
  • 9
    • 84972539429 scopus 로고
    • Combining probability distributions: A critique and an annotated bibliography
    • Genest, C., Zidek, J. V., 1986. Combining probability distributions: A critique and an annotated bibliography. Statistical Science 1, 114-118.
    • (1986) Statistical Science , vol.1 , pp. 114-118
    • Genest, C.1    Zidek, J.V.2
  • 10
    • 84954484317 scopus 로고    scopus 로고
    • Modelling disagreements among and within raters' assessments from the Bayesian point of view
    • Haitovsky, Y., Smith, A., Liu, Y., 2002. Modelling disagreements among and within raters' assessments from the bayesian point of view. In Draft. Presented at the Valencia meeting 2002.
    • (2002) Draft Valencia Meeting 2002
    • Haitovsky, Y.1    Smith, A.2    Liu, Y.3
  • 11
    • 0029372769 scopus 로고
    • Methods for combining experts' probability assessments
    • Jacobs, R., 1995. Methods for combining experts' probability assessments. Neural Computation 7, 867-888.
    • (1995) Neural Computation , vol.7 , pp. 867-888
    • Jacobs, R.1
  • 14
    • 79551477338 scopus 로고    scopus 로고
    • Bayesian model averaging is not model combination
    • Minka, T. P., 2002. Bayesian model averaging is not model combination. MIT Media Lab note.
    • (2002) MIT Media Lab Note
    • Minka, T.P.1
  • 16
    • 84954550842 scopus 로고    scopus 로고
    • Learning from crowds
    • Ph.D. thesis Massachusetts Institute of Technology, Cambridge, MA, USA
    • Qi, Y., 2005. Extending expectation propagation for graphical models. Ph.D. thesis, Massachusetts Institute of Technology, Cambridge, MA, USA.
    • (2005) Extending Expectation Propagation for Graphical Models
    • Qi, Y.1
  • 20
    • 0040639069 scopus 로고    scopus 로고
    • Stacking bagged and dagged models
    • San Francisco, CA
    • Ting, K., Witten, I. H., 1997. Stacking bagged and dagged models. In: Proc. of ICML'97. San Francisco, CA.
    • (1997) Proc. of ICML'97
    • Ting, K.1    Witten, I.H.2
  • 25
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    • Stacked generalization
    • Wolpert, D. H., 1992. Stacked generalization. Neural Networks 5, 241-259.
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 26
    • 0026860706 scopus 로고
    • Methods of combining multiple classifiers and their applications to handwriting recognition
    • Xu, L., Krzyzak, A., Suen, C. Y., May 1992. Methods of combining multiple classifiers and their applications to handwriting recognition. IEEE Transactions on Systems, Man, and Cybernetics 22 (3), 418-435.
    • (1992) IEEE Transactions on Systems, Man, and Cybernetics , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    May Y, S.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.