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Volumn 2, Issue , 1999, Pages 1300-1307

Learning probabilistic relational models

Author keywords

[No Author keywords available]

Indexed keywords

DATA REPRESENTATIONS; DEPENDENCY STRUCTURES; LEARNING BAYESIAN NETWORKS; LEARNING PROCEDURES; PROBABILISTIC RELATIONAL MODELS; RELATIONAL DATABASE; RELATIONAL STRUCTURES; STATISTICAL LEARNING METHODS;

EID: 84880688943     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (568)

References (15)
  • 5
    • 0001586968 scopus 로고    scopus 로고
    • Learning belief networks in the presence of missing values and hidden variables
    • N. Friedman. Learning belief networks in the presence of missing values and hidden variables. In Proc. ICML, 1997.
    • Proc. ICML, 1997
    • Friedman, N.1
  • 6
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • D. Heckerman, D. Geiger, and D. M. Chickering. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning, 20:197-243, 1995.
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 7
    • 0002370418 scopus 로고    scopus 로고
    • A tutorial on learning with Bayesian networks
    • M. I. Jordan, editor, MIT Press, Cambridge. MA
    • D. Heckerman. A tutorial on learning with Bayesian networks. In M. I. Jordan, editor, Learning in Graphical Models. MIT Press, Cambridge. MA, 1998.
    • (1998) Learning in Graphical Models
    • Heckerman, D.1
  • 10
    • 84880652569 scopus 로고    scopus 로고
    • Learning probabilities for noisy first-order rules
    • D. Koller and A. Pfeffer. Learning probabilities for noisy first-order rules. In Proc. 1JCA1, pages 1316-1321, 1997.
    • (1997) Proc. 1JCA1 , pp. 1316-1321
    • Koller, D.1    Pfeffer, A.2
  • 13
    • 84880664913 scopus 로고    scopus 로고
    • Answering queries from context-sensitive probabilistic knowledge bases
    • L. Ngo and P. Haddawy. Answering queries from context-sensitive probabilistic knowledge bases. Theoretical Computer Science, 1996.
    • (1996) Theoretical Computer Science
    • Ngo, L.1    Haddawy, P.2
  • 14
    • 0027702434 scopus 로고
    • Probabilistic Horn abduction and Bayesian networks
    • D. Poole. Probabilistic Horn abduction and Bayesian networks. Artificial Intelligence, 64:81-129, 1993.
    • (1993) Artificial Intelligence , vol.64 , pp. 81-129
    • Poole, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.