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Volumn , Issue , 2005, Pages 34-38

Noisy information value in utility-based decision making

Author keywords

decision theory; economic utility; intelligence analysis; noise; uncertainty; value of information

Indexed keywords

INFORMATION GATHERING; INFORMATION VALUE; INTELLIGENCE ANALYSIS; NOISE; VALUE OF INFORMATION;

EID: 77953575864     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1089827.1089831     Document Type: Conference Paper
Times cited : (12)

References (20)
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    • Heckerman, D.1    Horvitz, E.2    Nathwani3
  • 14
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    • Mussi, S.1
  • 17
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    • Active Sampling for Class Probability Estimation and Ranking
    • Saar-Tsechansky, M. and Provost, F. 2004. Active Sampling for Class Probability Estimation and Ranking. Machine Learning 54(2), 153-178.
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    • Saar-Tsechansky, M.1    Provost, F.2
  • 18
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    • Working paper (CeDER-04-06, Stern School of Business, New York University) . Available at
    • Saar-Tsechansky, M. and Provost, F. Active Learning for Decision-Making. Working paper (CeDER-04-06, Stern School of Business, New York University) . Available at http://www.mccombs.utexas.edu/faculty/Maytal.Saar-Tsechansky/home/ GOAL.pdf
    • Active Learning for Decision-Making
    • Saar-Tsechansky, M.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.