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Volumn 2157, Issue , 2001, Pages 118-131

Towards combining inductive logic programming with bayesian networks

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTER CIRCUITS; FORMAL LOGIC;

EID: 84949187512     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44797-0_10     Document Type: Conference Paper
Times cited : (84)

References (26)
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    • (1998) Applied Artificial Intelligence , vol.12 , Issue.5 , pp. 385-421
    • Blockeel, H.1    De, L.2
  • 3
    • 0035451897 scopus 로고    scopus 로고
    • Parameter estimation in stochastic logic programs
    • to appear
    • J. Cussens. Parameter estimation in stochastic logic programs. Machine Learning, 2001. to appear.
    • (2001) Machine Learning
    • Cussens, J.1
  • 9
    • 0003846041 scopus 로고
    • Technical Report MSR-TR-95-06, Microsoft Research, Advanced Technology Division, Microsoft Corporation, One Microsoft Way, Redmond, WA 98052, March
    • D. Heckerman. A tutorial on learning with Bayesian networks. Technical Report MSR-TR-95-06, Microsoft Research, Advanced Technology Division, Microsoft Corporation, One Microsoft Way, Redmond, WA 98052, March 1995.
    • (1995) A Tutorial on Learning with Bayesian Networks
    • Heckerman, D.1
  • 14
    • 9444234690 scopus 로고    scopus 로고
    • Technical Report 151, University of Freiburg, Institute for Computer Science, April
    • K. Kersting and L. De Raedt. Bayesian logic programs. Technical Report 151, University of Freiburg, Institute for Computer Science, April 2001.
    • (2001) Bayesian Logic Programs
    • Kersting, K.1    De Raedt, L.2
  • 17
    • 0028482006 scopus 로고
    • Learning Bayesian belief networks: An approach based on the MDL principle
    • W. Lam and F. Bacchus. Learning Bayesian belief networks: An approach based on the MDL principle. Computational Intelligence, 10(4), 1994.
    • (1994) Computational Intelligence , vol.10 , Issue.4
    • Lam, W.1    Bacchus, F.2
  • 19
    • 0028429573 scopus 로고
    • Inductive logic programming: Theory and methods
    • S. Muggleton and L. De Raedt. Inductive logic programming: Theory and methods. Journal of Logic Programming, 19(20):629–679, 1994.
    • (1994) Journal of Logic Programming , vol.19 , Issue.20 , pp. 629-679
    • Muggleton, S.1    De Raedt, L.2
  • 22
    • 0030737325 scopus 로고    scopus 로고
    • Answering queries form context-sensitive probabilistic knowledge bases
    • L. Ngo and P. Haddawy. Answering queries form context-sensitive probabilistic knowledge bases. Theoretical Computer Science, 171:147–177, 1997.
    • (1997) Theoretical Computer Science , vol.171 , pp. 147-177
    • Ngo, L.1    Haddawy, P.2
  • 24
    • 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.