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Volumn , Issue , 1996, Pages 335-338

Learning Limited Dependence Bayesian Classifiers

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA MINING;

EID: 85010067887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (317)

References (15)
  • 1
    • 0000735610 scopus 로고
    • Operations for learning with graphical models
    • Buntine, W. 1994. Operations for learning with graphical models. JAIR 2:159-225.
    • (1994) JAIR , vol.2 , pp. 159-225
    • Buntine, W.1
  • 2
    • 34249832377 scopus 로고
    • A bayesian method for the induction of probabilistic networks from data
    • Cooper, G. F., and Herskovits, E. 1992. A bayesian method for the induction of probabilistic networks from data. Machine Learning 9:309-347.
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G. F.1    Herskovits, E.2
  • 3
    • 0003927182 scopus 로고
    • Technical Report KSL 87-27, Stanford Knowledge Systems Laboratory. Ezawa, K. J., and Schuermann, T. 1995
    • Cooper, G. F. 1987. Probabilistic inference using belief networks is NP-Hard. Technical Report KSL- 87-27, Stanford Knowledge Systems Laboratory. ' Ezawa, K. J., and Schuermann, T. 1995.
    • (1987) Probabilistic inference using belief networks is NP-Hard
    • Cooper, G. F.1
  • 4
    • 85173875243 scopus 로고    scopus 로고
    • Fraud/uncollectible debt detection using a bayesian network learning system
    • Fraud/uncollectible debt detection using a bayesian network learning system. In UAI-95, 157-166.
    • UAI-95 , pp. 157-166
  • 5
    • 84866860235 scopus 로고    scopus 로고
    • Building classifiers using bayesian networks
    • Friedman, N., and Goldszmidt, M. 1996. Building classifiers using bayesian networks. In AAAI-96.
    • (1996) AAAI-96
    • Friedman, N.1    Goldszmidt, M.2
  • 6
    • 0041315314 scopus 로고
    • An entropy-based learning algorithm of bayesian conditional trees
    • Geiger, D. 1992. An entropy-based learning algorithm of bayesian conditional trees. In UAI-92, 92-97.
    • (1992) UAI-92 , pp. 92-97
    • Geiger, D.1
  • 8
    • 34249761849 scopus 로고
    • Learning bayesian networks: The combination of knowledge and statistical data
    • Heckerman, D.; Geiger, D.; and Chickering, D. 1995. Learning bayesian networks: The combination of knowledge and statistical data. Machine Learning 20:197-243.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.3
  • 15
    • 0022818911 scopus 로고
    • Evaluating influence diagrams
    • Shachter, R. D. 1986. Evaluating influence diagrams. Operations Research 34(6):871-882.
    • (1986) Operations Research , vol.34 , Issue.6 , pp. 871-882
    • Shachter, R. D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.