메뉴 건너뛰기




Volumn 5, Issue , 2003, Pages 4724-4729

On computing marginal probability intervals in inference networks

Author keywords

Bayesian learning; Belief functions; Dempster shafer theory; Probabilistic inference networks

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION; PROBABILITY; STATISTICAL METHODS;

EID: 0242552133     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (14)
  • 3
    • 0242620208 scopus 로고    scopus 로고
    • A comparison of methods for transforming belief function models to probability models
    • Cobb, B. R., and Shenoy, P. P., "A Comparison of Methods for Transforming Belief Function Models to Probability Models"
    • Cobb, B.R.1    Shenoy, P.P.2
  • 4
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper, G. F., and Herskovitz, E., "A Bayesian Method for the Induction of Probabilistic Networks from Data", Machine Learning, 9, 1992.
    • (1992) Machine Learning , vol.9
    • Cooper, G.F.1    Herskovitz, E.2
  • 5
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combinations of knowledge and statistical data
    • Heckerman, D., Geiger, D., and Chickering, D. M., "Learning Bayesian Networks: The Combinations of Knowledge and Statistical Data", Machine Learning, 20, 1995.
    • (1995) Machine Learning , vol.20
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 6
    • 0025545249 scopus 로고
    • Gibbs sampling in bayesian networks
    • Hrycej, T., "Gibbs Sampling in Bayesian Networks," In Artificial Intelligence, pg. 351-363, 1990.
    • (1990) Artificial Intelligence , pp. 351-363
    • Hrycej, T.1
  • 7
    • 4243210940 scopus 로고    scopus 로고
    • Lecture notes on bayesian inference and decision analysis
    • George Mason University, Farifax, VA
    • Laskey, K. B., "Lecture Notes on Bayesian Inference and Decision Analysis," George Mason University, Farifax, VA, 2003.
    • (2003)
    • Laskey, K.B.1
  • 8
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • Lauritzen, S. L., "The EM Algorithm for Graphical Association Models with Missing Data", Computational Statistics and Data Analysis, 19, 1995.
    • (1995) Computational Statistics and Data Analysis , vol.19
    • Lauritzen, S.L.1
  • 9
    • 0003391330 scopus 로고
    • Probabilistic reasoning in intelligent systems: Network of plausible inference
    • Morgan Kaufmann
    • Pearl, J., "Probabilistic Reasoning in Intelligent Systems: Network of Plausible Inference", Morgan Kaufmann, 1987.
    • (1987)
    • Pearl, J.1
  • 11
    • 0003250080 scopus 로고    scopus 로고
    • Parameter estimation in bayesian networks from incomplete databases
    • Ramoni, M., and Sebastani, P., "Parameter Estimation in Bayesian Networks from Incomplete Databases," Intelligent Data Analysis, 2, 1998.
    • (1998) Intelligent Data Analysis , vol.2
    • Ramoni, M.1    Sebastani, P.2
  • 12
    • 0003440941 scopus 로고    scopus 로고
    • Evidential foundations of probabilistic reasoning
    • Northwestern University Press
    • Schum, D. A., "Evidential Foundations of Probabilistic Reasoning", Northwestern University Press, 2001.
    • (2001)
    • Schum, D.A.1
  • 13
    • 4243778142 scopus 로고    scopus 로고
    • Lecture notes on decision and risk analysis
    • George Mason University, Fairfax, VA
    • Schum, D. A., "Lecture Notes on Decision and Risk Analysis," George Mason University, Fairfax, VA, 2002.
    • (2002)
    • Schum, D.A.1
  • 14
    • 0004209735 scopus 로고
    • A mathematical theory of evidence
    • Princeton University Press, Princeton, NJ
    • Shafer, G., "A Mathematical Theory of Evidence," Princeton University Press, Princeton, NJ, 1976.
    • (1976)
    • Shafer, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.