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Volumn , Issue , 2008, Pages 884-893

Incentive compatible regression learning

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS;

EID: 58449102161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (32)

References (23)
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    • S. A. Goldman and R. H. Sloan. Can PAC learning algorithms tolerate random attribute noise? Algorithmica, 14(1):70-84, 1995.
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    • Goldman, S.A.1    Sloan, R.H.2
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    • Incentives in teams
    • T. Groves. Incentives in teams. Econometrica, 41:617-631, 1973.
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    • Groves, T.1
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    • Decision theoretic generalization of the PAC model for neural net and other learning applications
    • D. Haussler. Decision theoretic generalization of the PAC model for neural net and other learning applications. Information and Computation, 100(1):78-150, 1992.
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    • Haussler, D.1
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    • Learnability and rationality of choice
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    • Learning in the presence of malicious errors
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    • Kearns, M.1    Li, M.2
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    • Truth revelation in rapid, approximately efficient combinatorial auctions
    • D. Lehmann, L. I. O'Callaghan, and Y. Shoham. Truth revelation in rapid, approximately efficient combinatorial auctions. Journal of the ACM, 49(5):577-602, 2002.
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    • Lehmann, D.1    O'Callaghan, L.I.2    Shoham, Y.3
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    • Generalized Condorcet-winners for single peaked and single-plateau preferences
    • H. Moulin. Generalized Condorcet-winners for single peaked and single-plateau preferences. Social Choice and Welfare, 1(2): 127-147, 1984.
    • (1984) Social Choice and Welfare , vol.1 , Issue.2 , pp. 127-147
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    • Thirteen reasons the Vickrey-Clarke-Groves process is not practical
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.