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Volumn , Issue , 2008, Pages 731-736

Nonparametric monotone classification with MOCA

Author keywords

[No Author keywords available]

Indexed keywords

A-MONOTONE; ATTRIBUTE VECTORS; CLASS LABELS; CLASSIFICATION ALGORITHM; INTERPOLATION SCHEMES; MEAN ABSOLUTE PREDICTION ERROR; NON-PARAMETRIC; REAL DATA SETS; STOCHASTIC DOMINANCE; TRAINING DATA; TRAINING SAMPLE;

EID: 67049109710     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.54     Document Type: Conference Paper
Times cited : (21)

References (12)
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    • Anglin, P.1    Gençay, R.2
  • 3
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    • Learning and classification of monotonic ordinal concepts
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    • David, A.B.1    Sterling, L.2    Pao, Y.3
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    • H. Brunk. Conditional expectation given σ-lattice and applications. Annals of Mathematical Statistics, 36:1339-1350, 1965.
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    • Brunk, H.1
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    • Nonparametric, isotonic discriminant procedures
    • R. Dykstra, J. Hewett, and T. Robertson. Nonparametric, isotonic discriminant procedures. Biometrika, 86(2):429-438, 1999. (Pubitemid 129767161)
    • (1999) Biometrika , vol.86 , Issue.2 , pp. 429-438
    • Dykstra, R.1    Hewett, J.2    Robertson, T.3
  • 7
    • 14944377334 scopus 로고    scopus 로고
    • Inferences under a stochastic ordering constraint: The k-sample case
    • DOI 10.1198/016214504000000764
    • H. El Barmi and H. Mukerjee. Inferences under a stochastic ordering constraint: the k-sample case. Journal of the American Statistical Association, 100(469):252-261, 2005. (Pubitemid 40366835)
    • (2005) Journal of the American Statistical Association , vol.100 , Issue.469 , pp. 252-261
    • El Barmi, H.1    Mukerjee, H.2
  • 8
    • 63249091979 scopus 로고    scopus 로고
    • A new parameter learning method for Bayesian networks with qualitative influences
    • In R. Parr and L. v. d. Gaag, editors. AUAI Press
    • A. Feelders. A new parameter learning method for Bayesian networks with qualitative influences. In R. Parr and L. v. d. Gaag, editors, Proceedings of Uncertainty in Artificial Intelligence 2007 (UAI07), pages 117-124. AUAI Press, 2007.
    • (2007) Proceedings of Uncertainty in Artificial Intelligence 2007 (UAI07) , pp. 117-124
    • Feelders, A.1
  • 9
    • 0039560797 scopus 로고
    • On models and hypotheses with restricted alternatives
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    • Hogg, R.1
  • 10
    • 49249099254 scopus 로고    scopus 로고
    • A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting
    • DOI 10.1007/s10479-008-0326-1
    • S. Lievens, B. De Baets, and K. Cao-Van. A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting. Annals of Operations Research, DOI 10.1007/s10479-008-0326-331, 2008.
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    • Lievens, S.1    De Baets, B.2    Van, K.C.3
  • 11
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    • ESTABLISHING CONSISTENT AND REALISTIC REORDER INTERVALS IN PRODUCTION-DISTRIBUTION SYSTEMS.
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    • Maxwell William, L.1    Muckstadt John, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.