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Volumn 6, Issue , 2007, Pages 3624-3629

Enhanced algorithm performance for classification based on hyper surface using Bagging and adaBoost

Author keywords

AdaBoost; Bagging; Hyper surface cassification; Minimal consistent subset

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; SET THEORY; THEOREM PROVING; TOPOLOGY;

EID: 38049077435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2007.4370775     Document Type: Conference Paper
Times cited : (6)

References (15)
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  • 3
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  • 4
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  • 5
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    • Y. Freund and R. E. Schapire, "A Decision-Theoretic Generalization of On-Line Learningand an Application to Boosting" Journal of computer and system sciences 55, pp.119-139, 1997.
    • (1997) Journal of computer and system sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 11
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    • An empirical comparison of voting classification algorithms: Bagging, boosting, and variants
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.