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Volumn 215, Issue , 2010, Pages 309-314

Active testing strategy to predict the best classification algorithm via sampling and metalearning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 77956031602     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-60750-606-5-309     Document Type: Conference Paper
Times cited : (39)

References (16)
  • 3
    • 0037361994 scopus 로고    scopus 로고
    • Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results
    • P. Brazdil, C. Soares, and J. Costa, 'Ranking learning algorithms: Using IBL and meta-learning on accuracy and time results', Machine Learning, 50, 251-277, (2003).
    • (2003) Machine Learning , vol.50 , pp. 251-277
    • Brazdil, P.1    Soares, C.2    Costa, J.3
  • 4
    • 0030825529 scopus 로고    scopus 로고
    • A general framework for distance-based consensus in ordinal ranking models
    • W.D. Cook, M. Kress, and L.W. Seiford, 'A general framework for distance-based consensus in ordinal ranking models', European Journal of Operational Research, 96(2), 392-397, (1996).
    • (1996) European Journal of Operational Research , vol.96 , Issue.2 , pp. 392-397
    • Cook, W.D.1    Kress, M.2    Seiford, L.W.3
  • 9
    • 38349041762 scopus 로고    scopus 로고
    • An iterative process for building learning curves and predicting relative performance of classifiers
    • Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), eds., J.Neves, M.F.Santos, and J.Machado, Guimarães, Portugal, December. Springer
    • Rui Leite and Pavel Brazdil, 'An iterative process for building learning curves and predicting relative performance of classifiers', in Progress In Artificial Intelligence, Proceedings of the 13th Portuguese Conference on Artificial Intelligence Workshops (EPIA 2007), eds., J.Neves, M.F.Santos, and J.Machado, volume 4874 of Lecture Notes in Computer Science, pp. 87-98, Guimarães, Portugal, (December 2007). Springer.
    • (2007) Lecture Notes in Computer Science , vol.4874 , pp. 87-98
    • Leite, R.1    Brazdil, P.2
  • 10
    • 74049084744 scopus 로고    scopus 로고
    • Selecting classifiers using metalearning with sampling landmarks and data characterization
    • held at ICML/COLT/UAI 2008, eds., P.Brazdil, A.Bernstein, and L.Hunter, Helsinki, Finland, July
    • Rui Leite and Pavel Brazdil, 'Selecting classifiers using metalearning with sampling landmarks and data characterization', in Proceedings of the Planning to Learn Workshop (PlanLearn 2008), held at ICML/COLT/UAI 2008, eds., P.Brazdil, A.Bernstein, and L.Hunter, pp. 35-41, Helsinki, Finland, (July 2008).
    • (2008) Proceedings of the Planning to Learn Workshop (PlanLearn 2008) , pp. 35-41
    • Leite, R.1    Brazdil, P.2
  • 13
    • 85182293891 scopus 로고    scopus 로고
    • 1999
    • Metal project site. http://www.metal-kdd.org/, 1999.
  • 15
    • 66149178152 scopus 로고    scopus 로고
    • Ph.D. dissertation, Department of Computer Science, Faculty of Sciences, University of Porto
    • C. Soares, Learning Rankings of Learning Algorithms, Ph.D. dissertation, Department of Computer Science, Faculty of Sciences, University of Porto, 2004.
    • (2004) Learning Rankings of Learning Algorithms
    • Soares, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.