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Volumn , Issue , 2008, Pages 34-42

Sensitivity analysis in decision circuits

Author keywords

[No Author keywords available]

Indexed keywords

ARITHMETIC CIRCUIT; DECISION CIRCUIT; DECISION PROBLEMS; DERIVATIVE INFORMATION; MODEL PARAMETERS; OPTIMAL SOLUTIONS; OPTIMAL STRATEGIES; SOLUTION PROCESS; VALUE OF INFORMATION;

EID: 77649312086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (22)
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    • Sensitivity analysis in Bayesian networks: From single to multiple parameters
    • Chickering, M., and Halpern, J., editors, Banff, Canada: AUAI Press, Arlington, Virginia
    • Chan, H., and Darwiche, A., 2004, Sensitivity analysis in Bayesian networks: From single to multiple parameters, In Chickering, M., and Halpern, J., editors, Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence, pp. 67-75, Banff, Canada: AUAI Press, Arlington, Virginia.
    • (2004) Proceedings of the Twentieth Conference on Uncertainty in Artificial Intelligence , pp. 67-75
    • Chan, H.1    Darwiche, A.2
  • 8
    • 0002703299 scopus 로고    scopus 로고
    • A differentiall approach to inference in Bayesian networks
    • Boutilier, C., and Gold- szmidt, M., editors, Stanford, CA, USA: Morgan Kaufmann, San Mateo, California
    • Darwiche, A., 2000, A differentiall approach to inference in Bayesian networks, In Boutilier, C., and Gold- szmidt, M., editors, Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, pp. 123-132, Stanford, CA, USA: Morgan Kaufmann, San Mateo, California.
    • (2000) Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence , pp. 123-132
    • Darwiche, A.1
  • 10
    • 1642413218 scopus 로고    scopus 로고
    • A differentiall approach to inference in Bayesian networks
    • Darwiche, A., 2003, A differentiall approach to inference in Bayesian networks, Journal of the ACM, 50(3), pp. 280-305.
    • (2003) Journal of the ACM , vol.50 , Issue.3 , pp. 280-305
    • Darwiche, A.1
  • 12
    • 0012857103 scopus 로고
    • The evolution of decision analysis
    • Howard, R., and Matheson, J., editors, 1989, Strategic Decisions Group, Menlo Park, CA
    • Howard, R., 1983, The evolution of decision analysis, In Howard, R., and Matheson, J., editors, 1989, The Principles and Applications of Decision Analysis, Strategic Decisions Group, Menlo Park, CA.
    • (1983) The Principles and Applications of Decision Analysis
    • Howard, R.1
  • 14
    • 0003272309 scopus 로고    scopus 로고
    • Making sensitivity analysis computationally efficient
    • Boutilier, C., and Goldszmidt, M., editors, Stanford, California: Morgan Kaufmann, San Francisco, California
    • Kjaerulff, U., van der Gaag, L. C., 2000, Making sensitivity analysis computationally efficient, In Boutilier, C., and Goldszmidt, M., editors, Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence, pp. 317-325, Stanford, California: Morgan Kaufmann, San Francisco, California.
    • (2000) Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence , pp. 317-325
    • Kjaerulff, U.1    Van Der Gaag, L.C.2
  • 15
    • 0029322870 scopus 로고
    • Sensitivity analysis for probability assessments in Bayesian networks
    • Laskey, K. B., 1995, Sensitivity analysis for probability assessments in Bayesian networks, IEEE Transactions on Systems, Man, and Cybernetics, 25, pp. 901-909.
    • (1995) IEEE Transactions on Systems, Man, and Cybernetics , vol.25 , pp. 901-909
    • Laskey, K.B.1
  • 19
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    • Evaluating inuence diagrams
    • November-December
    • Shachter, R., 1986, Evaluating inuence diagrams, Operations Research, 34 (November-December), pp. 871-882.
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  • 20
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    • Model building with belief networks and inuence diagrams
    • Edwards, W., Miles, R., and von Winterfeldt, D., editors, Cambridge University Press
    • Shachter, R., 2007, Model building with belief networks and inuence diagrams, In Edwards, W., Miles, R., and von Winterfeldt, D., editors, Advances in Decision Analysis: From Foundations to Applications, pp. 177-201, Cambridge University Press.
    • (2007) Advances in Decision Analysis: From Foundations to Applications , pp. 177-201
    • Shachter, R.1
  • 21
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    • Analysing sensitivity data from probabilistic networks
    • Breese, J., and Koller, D., editors, Seattle, WA: Morgan Kaufmann, San Francisco, California
    • van der Gaag, L. C., and Renooij, S., 2001, Analysing sensitivity data from probabilistic networks, In Breese, J., and Koller, D., editors, Proceedings of the 17th Conference on Uncertainty in Artificial Intelligence, pp. 530-537, Seattle, WA: Morgan Kaufmann, San Francisco, California.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.