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Volumn , Issue , 2010, Pages 319-324

Evaluating the weighted sum algorithm for estimating conditional probabilities in Bayesian networks

Author keywords

Bayesian network; Conditional probability; CPT elicitation; Expert; Knowledge elicitation; Weighted sum algorithm

Indexed keywords

CONDITIONAL PROBABILITIES; CPT ELICITATION; EXPERT; KNOWLEDGE ELICITATION; WEIGHTED SUM ALGORITHM;

EID: 79952386810     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (18)
  • 1
    • 77951601092 scopus 로고    scopus 로고
    • Generating conditional probabilities for Bayesian networks: Easing the knowledge acquisition problem
    • vol. cs.AI/0411034
    • B. Das, "Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem, " CoRR, vol. cs.AI/0411034, 2004.
    • (2004) CoRR
    • Das, B.1
  • 7
    • 0003114481 scopus 로고    scopus 로고
    • How to elicit many probabilities
    • Series How to elicit many probabilities, ed. Editor ed.Aeds. Morgan Kaufmann
    • L.C. van der Gaag, et al., "How to elicit many probabilities, " Book How to elicit many probabilities, Series How to elicit many probabilities, ed., Editor ed.Aeds., Morgan Kaufmann, 1999, pp. 647-654.
    • (1999) Book How to Elicit Many Probabilities , pp. 647-654
    • Van Der Gaaget, L.C.1
  • 17
    • 70349444084 scopus 로고    scopus 로고
    • An experimental comparison of methods for handling incomplete data in learning parameters of Bayesian networks
    • A. Onisko, et al., "An experimental comparison of methods for handling incomplete data in learning parameters of Bayesian networks, " Physica Verlag, 2002, pp. 351.
    • (2002) Physica Verlag , pp. 351
    • Onisko, A.1
  • 18
    • 34250654558 scopus 로고    scopus 로고
    • Developing complete conditional probability tables from fractional data for bayesian belief networks
    • T. Zhong and M. Brenda, "Developing Complete Conditional Probability Tables from Fractional Data for Bayesian Belief Networks, " Journal of Computing in Civil Engineering, vol. 21, no. 4, 2007, pp. 265-276.
    • (2007) Journal of Computing in Civil Engineering , vol.21 , Issue.4 , pp. 265-276
    • Zhong, T.1    Brenda, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.