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Volumn 1910, Issue , 2000, Pages 325-330

Discovering task neighbourhoods through landmark learning performances

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING;

EID: 79952558120     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45372-5_32     Document Type: Conference Paper
Times cited : (50)

References (16)
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    • D.W. Aha. Generalizing from case studies: A case study. In Proceedings of 9th ICML, pages 1-10, 1992.
    • (1992) Proceedings of 9th ICML , pp. 1-10
    • Aha, D.W.1
  • 2
    • 84881402977 scopus 로고    scopus 로고
    • God doesn’t always shave with Occam’s Razor-learning when and how to prune
    • H. Bensusan. God doesn’t always shave with Occam’s Razor-learning when and how to prune. In Proceedings of 10th ECML, pages 119-124, 1998.
    • (1998) Proceedings of 10th ECML , pp. 119-124
    • Bensusan, H.1
  • 6
    • 0013058980 scopus 로고    scopus 로고
    • A comparison of ranking methods for classification algorithm selection
    • P. Brazdil and C. Soares. A comparison of ranking methods for classification algorithm selection. In Proceedings of 11th ECML, 2000.
    • (2000) Proceedings of 11th ECML
    • Brazdil, P.1    Soares, C.2
  • 7
    • 0002976263 scopus 로고
    • Recursive automatic bias selection for classifier construction
    • C. E. Brodley. Recursive automatic bias selection for classifier construction. Machine Learning, 20:63-94, 1995.
    • (1995) Machine Learning , vol.20 , pp. 63-94
    • Brodley, C.E.1
  • 9
    • 33747185668 scopus 로고    scopus 로고
    • Using a data metric for offering preprocessing advice in data mining applications
    • R. Engels and C. Theusinger. Using a data metric for offering preprocessing advice in data mining applications. In Proceedings of 13th ECAI, pages 430-434, 1998.
    • (1998) Proceedings of 13th ECAI , pp. 430-434
    • Engels, R.1    Theusinger, C.2
  • 10
    • 84956869980 scopus 로고    scopus 로고
    • AST: Support for algorithm selection with a CBR approach
    • (LNAI 1704)
    • G. Lindner and R. Studer. AST: Support for algorithm selection with a CBR approach. In Proceedings of 3rd PKDD, pages 418-423, 1999. (LNAI 1704).
    • (1999) Proceedings of 3rd PKDD , pp. 418-423
    • Lindner, G.1    Studer, R.2
  • 15
    • 84983750945 scopus 로고
    • A conservation law for generalization performance
    • C. Schafier. A conservation law for generalization performance. In Proceedings of 11th ICML, pages 259-265, 1994.
    • (1994) Proceedings of 11th ICML , pp. 259-265
    • Schafier, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.