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Volumn , Issue , 2001, Pages 204-213

Learning and making decisions when costs and probabilities are both unknown

Author keywords

[No Author keywords available]

Indexed keywords

COSTS; DECISION MAKING; IMAGE RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; TREES (MATHEMATICS);

EID: 0035789316     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502512.502540     Document Type: Conference Paper
Times cited : (387)

References (23)
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  • 2
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    • (2000)
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    • Bagging predictors
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    • Breiman, L.1
  • 7
    • 85028857490 scopus 로고
    • Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability
    • Springer Verlag
    • J. Cussens. Bayes and pseudo-Bayes estimates of conditional probabilities and their reliability. In Proceedings of the European Conference on Machine Learning, pages 136-152. Springer Verlag, 1993.
    • (1993) Proceedings of the European Conference on Machine Learning , pp. 136-152
    • Cussens, J.1
  • 9
    • 0002419948 scopus 로고    scopus 로고
    • Beyond independence: Conditions for the optimality of the simple Bayesian classifier
    • Morgan Kaufmann Publishers, Inc.
    • P. Domingos and M. Pazzani. Beyond independence: Conditions for the optimality of the simple Bayesian classifier. In Proceedings of the Thirteenth International Conference on Machine Learning, pages 105-112. Morgan Kaufmann Publishers, Inc., 1996.
    • (1996) Proceedings of the Thirteenth International Conference on Machine Learning , pp. 105-112
    • Domingos, P.1    Pazzani, M.2
  • 13
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    • Sample selection bias as a specification error
    • J. Heckman. Sample selection bias as a specification error. Econometrics, 47:153-161, 1979.
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    • Heckman, J.1
  • 14
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    • Assessing the performance of direct marketing scoring models
    • E. C. Malthouse. Assessing the performance of direct marketing scoring models. Journal of Interactive Marketing, 15(1):49-62, 2001.
    • (2001) Journal of Interactive Marketing , vol.15 , Issue.1 , pp. 49-62
    • Malthouse, E.C.1
  • 16
    • 0041992571 scopus 로고    scopus 로고
    • Well-trained PETs: Improving probability estimation trees
    • #00-04-IS, Stern School of Business, New York University, NY, NY 10012
    • F. Provost and P. Domingos. Well-trained PETs: Improving probability estimation trees. CDER Working Paper #00-04-IS, Stern School of Business, New York University, NY, NY 10012, 2000.
    • (2000) CDER Working Paper
    • Provost, F.1    Domingos, P.2
  • 17
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F. Provost and T. Fawcett. Robust classification for imprecise environments. Machine Learning, 42:203-231, 2001.
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
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    • Ottawa, Canada
    • P. Turney. Cost-sensitive learning bibliography. Institute for Information Technology, National Research Council, Ottawa, Canada, 2000. http://extractor.iit.nrc.ca/bibliographies/cost-sensitive.html.
    • (2000) Cost-Sensitive Learning Bibliography
    • Turney, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.