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Volumn 5032 LNAI, Issue , 2008, Pages 203-215

Full border identification for reduction of training sets

Author keywords

Border Identification; Convergence Detection; Learning Curve; Progressive Sampling

Indexed keywords

COMPUTATIONAL METHODS; IDENTIFICATION (CONTROL SYSTEMS); OPTIMIZATION;

EID: 44649186385     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68825-9_20     Document Type: Conference Paper
Times cited : (10)

References (16)
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    • Issues in Training Set Selection and Refinement for Classification by a Feedforward Neural Network
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  • 9
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    • Efficient Progressive Sampling
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    • (1999) KDD
    • Provost, F.1    Jensen, D.2    Oates, T.3
  • 10
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Scholkopf, B, Burges, C, Smola, A, eds, MIT Press, Cambridge
    • Platt, J.: Fast training of support vector machines using sequential minimal optimization. In: Scholkopf, B., Burges, C., Smola, A. (eds.) Advances in kernel methods - support vector learning, MIT Press, Cambridge (1998)
    • (1998) Advances in kernel methods - support vector learning
    • Platt, J.1
  • 11
    • 44649197226 scopus 로고    scopus 로고
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
    • Quinlan, J.R.: C4.5: Programs for Machine Learning. Morgan Kaufmann, San Mateo (1993)
  • 12
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    • Recursive Stratified Sampling for Multidimensional Monte Carlo Integration
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    • (1990) Computers in Physics , vol.4 , pp. 190-195
    • Press, W.H.1    Farrar, G.R.2
  • 14
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    • Sulzmann, J., Fürnkranz, J., Hüllermeier, E.: On Pairwise Naive Bayes Classifiers. In: Kok, J.N., Koronacki. J., Lopez de Mantaras, R., Matwin, S., Mladenič. D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), 4701, pp. 658-665. Springer, Heidelberg (2007)
    • Sulzmann, J., Fürnkranz, J., Hüllermeier, E.: On Pairwise Naive Bayes Classifiers. In: Kok, J.N., Koronacki. J., Lopez de Mantaras, R., Matwin, S., Mladenič. D., Skowron, A. (eds.) ECML 2007. LNCS (LNAI), vol. 4701, pp. 658-665. Springer, Heidelberg (2007)
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    • Learning when training data are costly: The effect of class distribution on tree induction
    • Weiss, G.M., Provost, F.: Learning when training data are costly: the effect of class distribution on tree induction. Journal of Artificial Intelligence Research 19, 315-354 (2003)
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    • Weiss, G.M.1    Provost, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.