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Volumn , Issue , 2008, Pages 96-103

An empirical evaluation of supervised learning in high dimensions

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DECISION TREES; MACHINE LEARNING; SUPERVISED LEARNING; EDUCATION; LEARNING SYSTEMS; MARINE BIOLOGY; ROBOT LEARNING;

EID: 56449089785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390169     Document Type: Conference Paper
Times cited : (458)

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    • Freund, Y., & Schapire, R. (1999). Large Margin Classification Using the Perception Algorithm. MLJ, 37, 277-296.
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    • (1995) Applied Artificial Intelligence , vol.9 , pp. 259-287
    • King, R.1    Feng, C.2    Shutherland, A.3
  • 9
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    • Efficient backprop
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    • Le Cun, Y., Bottou, L., Orr, G. B., & Müller, K.-R. (1998). Efficient backprop. In Neural networks, tricks of the trade, LNCS 1524. Springer Verlag.
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    • Niculescu-Mizil, A., & Caruana, R. (2005). Predicting good probabilities with supervised learning. ICML '05, 625-632.
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    • Platt, J. (1999). Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. Advances in Large Margin Classifiers, 10.
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    • Transforming classifier scores into accurate multiclass probability estimates
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.