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Volumn , Issue , 2008, Pages 2017-2022

A new approach for multi-label classification based on default hierarchies and organizational learning

Author keywords

Default hierarchies; LCS; Organizational sizing

Indexed keywords

COMPUTATION THEORY; EXPERT SYSTEMS; GENETIC ALGORITHMS; KNOWLEDGE MANAGEMENT; MACHINE LEARNING; REINFORCEMENT LEARNING;

EID: 57349170845     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1388969.1389015     Document Type: Conference Paper
Times cited : (8)

References (19)
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  • 3
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    • (2005)
    • Bernadó-Mansilla, E.1    Llorà, X.2    Trails, I.3
  • 5
    • 3042597440 scopus 로고    scopus 로고
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    • M. Boutell, J. Luo, X. Shen, and C. Brown. Learning multi-label scene classification. Pattern Recognition, 37(9):17571771, 2004.
  • 6
    • 33750270501 scopus 로고    scopus 로고
    • A. Chan and A. A. Freitas. A New Ant Colony Algorithm for Multi-Label Classification with Applications in Bioinformatics. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 27-34, 2006.
    • A. Chan and A. A. Freitas. A New Ant Colony Algorithm for Multi-Label Classification with Applications in Bioinformatics. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 27-34, 2006.
  • 11
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    • Significance level based multiple tree classification
    • A. Karalic and V. Pirnat. Significance level based multiple tree classification. Informatica, 15(5), 1991.
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    • Karalic, A.1    Pirnat, V.2
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    • The Compact Classifier System: Scalability Analysis and First Results
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    • X. Llorà, K. Sastry, and D. E. Goldberg. The Compact Classifier System: Scalability Analysis and First Results. Technical report, University of Illinois at Urbana-Champaign, Urbana, IL, 2005.
    • (2005)
    • Llorà, X.1    Sastry, K.2    Goldberg, D.E.3
  • 17
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    • Organizational learning within a learning classifier system. Master's thesis, University of Illinois at Urbana-Champaign
    • No.95003
    • J. R. Wilcox. Organizational learning within a learning classifier system. Master's thesis, University of Illinois at Urbana-Champaign, 1995. Illigal Report No.95003.
    • (1995) Illigal Report
    • Wilcox, J.R.1
  • 18
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    • Classifier Fitness Based on Accuracy
    • S. W. Wilson. Classifier Fitness Based on Accuracy. Evolutionary Computation, 3(2):149-175, 1995.
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    • Wilson, S.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.