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Volumn 3720 LNAI, Issue , 2005, Pages 84-95

An integrated approach to learning Bayesian networks of rules

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; FORMAL LOGIC; LEARNING ALGORITHMS; MATHEMATICAL PROGRAMMING; PERFORMANCE;

EID: 33646424350     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564096_13     Document Type: Conference Paper
Times cited : (49)

References (19)
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    • Horn W., editor. IOS Press
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    • Alphonse, E.1    Rouveirol, C.2
  • 7
    • 33748269927 scopus 로고    scopus 로고
    • Learning ensembles of first-order clauses for recall-precision curves: A case study in biomedical information extraction
    • Porto, Portugal
    • M. Goadrich, L. Oliphant, and J. Shavlik. Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction. In Proceedings of the 14th ILP, Porto, Portugal, 2004.
    • (2004) Proceedings of the 14th ILP
    • Goadrich, M.1    Oliphant, L.2    Shavlik, J.3
  • 8
    • 33646424514 scopus 로고    scopus 로고
    • Relational learning using constrained confidence-rated boosting
    • September
    • S. Hoche and S. Wrobel. Relational learning using constrained confidence-rated boosting. In ILP01, volume 2157, pages 51-64, September 2001.
    • (2001) ILP01 , vol.2157 , pp. 51-64
    • Hoche, S.1    Wrobel, S.2
  • 12
    • 77951503082 scopus 로고
    • Inverse entailment and Progol
    • S. Muggleton. Inverse entailment and Progol. New Generation Computing, 13:245-286, 1995.
    • (1995) New Generation Computing , vol.13 , pp. 245-286
    • Muggleton, S.1
  • 13
    • 77952399122 scopus 로고    scopus 로고
    • Learning relational probability trees
    • ACM Press
    • J. Neville, D. Jensen, L. Friedland, and M. Hay. Learning relational probability trees. In KDD '03, pages 625-630. ACM Press, 2003.
    • (2003) KDD '03 , pp. 625-630
    • Neville, J.1    Jensen, D.2    Friedland, L.3    Hay, M.4
  • 14
    • 4444260281 scopus 로고
    • Naive Bayesian classifier within ILP-R
    • L. De Raedt, editor
    • U. Pompe and I. Kononenko. Naive Bayesian classifier within ILP-R. In L. De Raedt, editor, ILP95, pages 417-436, 1995.
    • (1995) ILP95 , pp. 417-436
    • Pompe, U.1    Kononenko, I.2
  • 15
    • 84880749757 scopus 로고    scopus 로고
    • Roccer: An algorithm for rule learning based on roc analysis
    • Edinburgh, Scotland
    • R. Prati and P. Flach. Roccer: an algorithm for rule learning based on roc analysis. In IJCAI05, Edinburgh, Scotland, 2005.
    • (2005) IJCAI05
    • Prati, R.1    Flach, P.2
  • 18
    • 33646436321 scopus 로고    scopus 로고
    • Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes
    • A. Srinivasan and R. King. Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes. In ILP97, pages 89-104, 1997.
    • (1997) ILP97 , pp. 89-104
    • Srinivasan, A.1    King, R.2


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