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Volumn 3257, Issue , 2004, Pages 280-292

Designing a procedure for the acquisition of probability constraints for bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; ENGINEERS; GRAPHIC METHODS; KNOWLEDGE ACQUISITION; MATHEMATICAL MODELS; NEONATAL MONITORING; PROBABILISTIC LOGICS; RANDOM PROCESSES; STATISTICAL METHODS; MERGERS AND ACQUISITIONS; PROBABILITY; PROBABILITY DISTRIBUTIONS; SEMANTIC WEB;

EID: 22944436818     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30202-5_19     Document Type: Conference Paper
Times cited : (17)

References (9)
  • 3
    • 85008015613 scopus 로고    scopus 로고
    • Building probabilistic networks: "Where do the numbers come from?" Guest editors' introduction
    • M.J. Druzdzel, L.C. van der Gaag. Building probabilistic networks: "Where do the numbers come from?" Guest editors' introduction. IEEE Transactions on Knowledge and Data Engineering, 2000, 12, pp. 481 - 486.
    • (2000) IEEE Transactions on Knowledge and Data Engineering , vol.12 , pp. 481-486
    • Druzdzel, M.J.1    Van Der Gaag, L.C.2
  • 4
    • 0002624201 scopus 로고
    • Elicitation of probabilities for belief networks: Combining qualitative and quantitative information
    • Ph. Besnard, S. Hank, editors, Morgan Kaufmann Publishers, San Francisco
    • M.J. Druzdzel, L.C. van der Gaag. Elicitation of probabilities for belief networks: combining qualitative and quantitative information. In: Ph. Besnard, S. Hank, editors, Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence. Morgan Kaufmann Publishers, San Francisco, 1995, pp. 141 - 148.
    • (1995) Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence , pp. 141-148
    • Druzdzel, M.J.1    Van Der Gaag, L.C.2
  • 6
    • 0025471633 scopus 로고
    • Fundamental concepts of qualitative probabilistic networks
    • M.P. Wellman. Fundamental concepts of qualitative probabilistic networks. Artificial Intelligence, 1990, 44, pp. 257 - 303.
    • (1990) Artificial Intelligence , vol.44 , pp. 257-303
    • Wellman, M.P.1
  • 8
    • 0002535440 scopus 로고
    • Qualitative propagation and scenario-based approaches to explanation in probabilistic reasoning
    • P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer, editors, Elsevier, North-Holland
    • M. Henrion, M.J. Druzdzel. Qualitative propagation and scenario-based approaches to explanation in probabilistic reasoning. In: P.P. Bonissone, M. Henrion, L.N. Kanal, J.F. Lemmer, editors, Uncertainty in Artificial Intelligence 6. Elsevier, North-Holland, 1991, pp. 17-32.
    • (1991) Uncertainty in Artificial Intelligence , vol.6 , pp. 17-32
    • Henrion, M.1    Druzdzel, M.J.2
  • 9
    • 11944267218 scopus 로고
    • How to improve Bayesian reasoning without instruction: Frequency formats
    • G. Gigerenzer, U. Hoffrage. How to improve Bayesian reasoning without instruction: Frequency formats. Psychological Review, 1995, 102, pp. 684 - 704.
    • (1995) Psychological Review , vol.102 , pp. 684-704
    • Gigerenzer, G.1    Hoffrage, U.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.