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Volumn , Issue , 2010, Pages 143-150

Fast boosting using adversarial bandits

Author keywords

[No Author keywords available]

Indexed keywords

ADABOOST; BASE CLASSIFIERS; BENCHMARK DATASETS; BOOSTING ALGORITHM; COMPUTATIONAL COSTS; DECISION PROBLEMS; GENERALIZATION PERFORMANCE; MULTI ARMED BANDIT; ORDER OF MAGNITUDE;

EID: 77956554273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (19)
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  • 3
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  • 5
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    • Bottou, L. and Bousquet, O. The tradeoffs of large scale learning. In NIPS, volume 20, pp. 161-168, 2008.
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    • Bottou, L.1    Bousquet, O.2
  • 6
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    • FilterBoost: Regression and classification on large datasets
    • Bradley, J.K. and Schapire, R.E. FilterBoost: Regression and classification on large datasets. In NIPS, volume 20, 2008.
    • (2008) NIPS , vol.20
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  • 7
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    • Accelerating AdaBoost using UCB
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    • (2009) KDDCup 2009 (JMLR W&CP) , vol.7 , pp. 111-122
    • Busa-Fekete, R.1    Kégl, B.2
  • 9
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    • Coquelin, P-A. and Munos, R. Bandit algorithms for tree search. In UAI, volume 23, 2007.
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  • 10
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    • De Mesmay, F., Rimmel, A., Voronenko, Y., and Püschel, M. Bandit-based optimization on graphs with application to library performance tuning. In ICML, volume 26, pp. 729-736, 2009.
    • (2009) ICML , vol.26 , pp. 729-736
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  • 11
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  • 12
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    • (1997) J. of Comp. and Sys. Sci. , vol.55 , pp. 119-139
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.