메뉴 건너뛰기




Volumn 2167, Issue , 2001, Pages 49-60

A framework for learning rules from multiple instance data

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION TREES; LEARNING SYSTEMS;

EID: 84948152022     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (26)

References (17)
  • 1
    • 0347709692 scopus 로고    scopus 로고
    • Lazy propositionalization for relational learning
    • Erick Alphonse and Celine Rouveirol. Lazy propositionalization for relational learning. In ECAI, 2000.
    • (2000) ECAI
    • Alphonse, E.1    Rouveirol, C.2
  • 3
    • 0002469253 scopus 로고    scopus 로고
    • On learning from multi-instance examples: Empirical evaluation of a theoretical approach
    • Peter Auer. On learning from multi-instance examples: Empirical evaluation of a theoretical approach. In Proc. 14th International Conference on Machine Learning, 1997.
    • (1997) Proc. 14th International Conference on Machine Learning
    • Auer, P.1
  • 4
  • 5
    • 0031704194 scopus 로고    scopus 로고
    • A note on learning from multiple-instance examples
    • Avrim Blum and Adam Kalai. A note on learning from multiple-instance examples. Machine Learning, 30, 1998.
    • (1998) Machine Learning , pp. 30
    • Blum, A.1    Kalai, A.2
  • 8
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multipleinstance problem with axis-parallel rectangles
    • Thomas G. Dietterich, Richard H. Lathrop, and Tomás Lozano-Pérez. Solving the multipleinstance problem with axis-parallel rectangles. Artificial Intelligence, 89(1-2), 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Pérez, T.3
  • 9
    • 0002129041 scopus 로고    scopus 로고
    • Generating accurate rule sets without global optimization
    • Eibe Frank and Ian H. Witten. Generating accurate rule sets without global optimization. In Proc. 15th ICML, 1998.
    • (1998) Proc. 15th ICML
    • Frank, E.1    Witten, I.H.2
  • 10
    • 0342984489 scopus 로고    scopus 로고
    • Analyzing relational learning in the phase transition framework
    • Attilio Giordana, Lorenza Saitta, Michele Sebag, and Marco Botta. Analyzing relational learning in the phase transition framework. In Proc. 17th ICML, 2000.
    • (2000) Proc. 17th ICML
    • Giordana, A.1    Saitta, L.2    Sebag, M.3    Botta, M.4
  • 11
    • 0004950879 scopus 로고
    • Some lower bounds for the computational complexity of inductive logic programming
    • J. U. Kietz. Some lower bounds for the computational complexity of inductive logic programming. In ECML, 1993.
    • (1993) ECML
    • Kietz, J.U.1
  • 12
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • Oded Maron and Aparna Lakshmi Ratan. Multiple-instance learning for natural scene classification. In Proc. 15th ICML, pages 341–349, 1998.
    • (1998) Proc. 15th ICML , pp. 341-349
    • Maron, O.1    Ratan, A.L.2
  • 13
    • 4444241047 scopus 로고    scopus 로고
    • Attribute-value learning versus inductive logic programming: The missing links
    • Luc De Raedt. Attribute-value learning versus inductive logic programming: The missing links. In Proc. 8th International Conference on ILP, 1998.
    • (1998) Proc. 8th International Conference on ILP
    • De Raedt, L.1
  • 14
    • 0005441648 scopus 로고    scopus 로고
    • Tractable induction and classification in first order logic
    • Nagoya, Japan
    • Michele Sebag and Celine Rouveirol. Tractable induction and classification in first order logic. In IJCAI, Nagoya, Japan, 1997.
    • (1997) IJCAI
    • Sebag, M.1    Rouveirol, C.2
  • 15
    • 0041656711 scopus 로고
    • Comparing the use of background knowledge by two ilp systems
    • L. de Raedt, editor, Katholieke Universiteit Leuven
    • A. Srinivasan and S. Muggleton. Comparing the use of background knowledge by two ilp systems. In L. de Raedt, editor, ILP-95., Katholieke Universiteit Leuven, 1995.
    • (1995) ILP-95
    • Srinivasan, A.1    Muggleton, S.2
  • 16
    • 0141596676 scopus 로고    scopus 로고
    • Solving multiple-instance problem: A lazy learning approach
    • Jun Wang and Jean-Daniel Zucker. Solving multiple-instance problem: a lazy learning approach. In Proc. 17th ICML, 2000.
    • (2000) Proc. 17th ICML
    • Wang, J.1    Zucker, J.-D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.