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Volumn 2583, Issue , 2003, Pages 48-65

An empirical evaluation of bagging in inductive logic programming

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; LOGIC PROGRAMMING;

EID: 7044227546     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36468-4_4     Document Type: Conference Paper
Times cited : (14)

References (35)
  • 6
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging Predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 0030196364 scopus 로고    scopus 로고
    • Stacked regressions
    • L. Breiman. Stacked Regressions. Machine Learning, 24(1):49-64, 1996.
    • (1996) Machine Learning , vol.24 , Issue.1 , pp. 49-64
    • Breiman, L.1
  • 15
    • 33646424514 scopus 로고    scopus 로고
    • Relational learning using constrained confidence-rated boosting
    • Céline Rouveirol and Michèle Sebag, editors, Lecture Notes in Artificial Intelligence. Springer-Verlag, September
    • S. Hoche and S. Wrobel. Relational learning using constrained confidence-rated boosting. In Céline Rouveirol and Michèle Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 51-64. Springer-Verlag, September 2001.
    • (2001) Proceedings of the 11th International Conference on Inductive Logic Programming , vol.2157 , pp. 51-64
    • Hoche, S.1    Wrobel, S.2
  • 16
    • 0026492833 scopus 로고
    • Predicting protein secondary structure using inductive logic programming
    • R. King, S. Muggleton, and M. Sternberg. Predicting protein secondary structure using inductive logic programming. Protein Engineering, 5:647-657, 1992.
    • (1992) Protein Engineering , vol.5 , pp. 647-657
    • King, R.1    Muggleton, S.2    Sternberg, M.3
  • 17
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation, and active learning
    • G. Tesauro, D. Touretzky, and T. Leen, editors. The MIT Press
    • A. Krogh and J. Vedelsby. Neural network ensembles, cross validation, and active learning. In G. Tesauro, D. Touretzky, and T. Leen, editors, Advances in Neural Information Processing Systems, volume 7, pages 231-238. The MIT Press, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 19
    • 84949225995 scopus 로고    scopus 로고
    • Parallel induction algorithms for large samples
    • S. Arikawa and H. Motoda, editors, Lecture Notes in Artificial Intelligence. Springer-Verlag, December
    • T. Matsui, N. Inuzuka, H. Seki, and H. Ito. Parallel induction algorithms for large samples. In S. Arikawa and H. Motoda, editors, Proceedings of the First International Conference on Discovery Science, volume 1532 of Lecture Notes in Artificial Intelligence, pages 397-398. Springer-Verlag, December 1998.
    • (1998) Proceedings of the First International Conference on Discovery Science , vol.1532 , pp. 397-398
    • Matsui, T.1    Inuzuka, N.2    Seki, H.3    Ito, H.4
  • 20
    • 0018242499 scopus 로고
    • The epidemic in a closed population with all susceptibles equally vulnerable; Some results for large susceptible populations and small initial infections
    • J. Metz. The epidemic in a closed population with all susceptibles equally vulnerable; some results for large susceptible populations and small initial infections. Acta Biotheoretica, 27:75-123, 1978.
    • (1978) Acta Biotheoretica , vol.27 , pp. 75-123
    • Metz, J.1
  • 22
    • 0030356238 scopus 로고    scopus 로고
    • Actively searching for an effective neural-network ensemble
    • D. W. Opitz and J. W. Shavlik. Actively searching for an effective neural-network ensemble. Connection Science, 8(3/4):337-353, 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 337-353
    • Opitz, D.W.1    Shavlik, J.W.2
  • 26
    • 9444239437 scopus 로고    scopus 로고
    • A note on two simple transformations for improving the efficiency of an ILP system
    • J. Cussens and A. Frisch, editors, Lecture Notes in Artificial Intelligence. Springer-Verlag
    • V. Santos Costa, A. Srinivasan, and R. Camacho. A note on two simple transformations for improving the efficiency of an ILP system. In J. Cussens and A. Frisch, editors, Proceedings of the 10th International Conference on Inductive Logic Programming, volume 1866 of Lecture Notes in Artificial Intelligence, pages 225-242. Springer-Verlag, 2000.
    • (2000) Proceedings of the 10th International Conference on Inductive Logic Programming , vol.1866 , pp. 225-242
    • Santos Costa, V.1    Srinivasan, A.2    Camacho, R.3
  • 28
    • 22644449927 scopus 로고    scopus 로고
    • A study of two sampling methods for analysing large datasets with ILP
    • A. Srinivasan. A study of two sampling methods for analysing large datasets with ILP. Data Mining and Knowledge Discovery, 3(1):95-123, 1999.
    • (1999) Data Mining and Knowledge Discovery , vol.3 , Issue.1 , pp. 95-123
    • Srinivasan, A.1
  • 31
    • 84937390237 scopus 로고    scopus 로고
    • Efficient cross-validation in ILP
    • Céline Rouveirol and Michèle Sebag, editors, Lecture Notes in Artificial Intelligence. Springer-Verlag, September
    • J. Struyf and H. Blockeel. Efficient cross-validation in ILP. In Céline Rouveirol and Michèle Sebag, editors, Proceedings of the 11th International Conference on Inductive Logic Programming, volume 2157 of Lecture Notes in Artificial Intelligence, pages 228-239. Springer-Verlag, September 2001.
    • (2001) Proceedings of the 11th International Conference on Inductive Logic Programming , vol.2157 , pp. 228-239
    • Struyf, J.1    Blockeel, H.2
  • 33
    • 0027706867 scopus 로고
    • Learning semantic grammars with constructive inductive logic programming
    • Washington, D.C. July. AAAI Press/MIT Press
    • J. Zelle and R. Mooney. Learning semantic grammars with constructive inductive logic programming. In Proceedings of the 11th National Conference on Artificial Intelligence, pages 817-822, Washington, D.C., July 1993. AAAI Press/MIT Press.
    • (1993) Proceedings of the 11th National Conference on Artificial Intelligence , pp. 817-822
    • Zelle, J.1    Mooney, R.2
  • 35
    • 0027457620 scopus 로고
    • Receiver-operative characteristic
    • M. Zweig and G. Campbell. Receiver-operative characteristic. Clinical Chemistry, 39:561-577, 1993.
    • (1993) Clinical Chemistry , vol.39 , pp. 561-577
    • Zweig, M.1    Campbell, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.