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Volumn 13, Issue , 2012, Pages 549-553

MULTIBOOST: A multi-purpose boosting package

Author keywords

ADABOOST.MH; Boosting; Cascade classifier; FILTERBOOST

Indexed keywords

C++ (PROGRAMMING LANGUAGE);

EID: 84859449983     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (79)

References (10)
  • 1
    • 33751531805 scopus 로고    scopus 로고
    • Aggregate features and ADABOOST for music classification
    • DOI 10.1007/s10994-006-9019-7, Special Issue on Machine Learning in and for Music
    • J. Bergstra, N. Casagrande, D. Erhan, D. Eck, and B. Kégl. Aggregate features and AdaBoost for music classification. Machine Learning Journal, 65(2/3):473-484, 2006. (Pubitemid 44836054)
    • (2006) Machine Learning , vol.65 , Issue.2-3 , pp. 473-484
    • Bergstra, J.1    Casagrande, N.2    Erhan, D.3    Eck, D.4    Kegl, B.5
  • 7
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Y. Freund and R. E. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55:119-139, 1997. (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 9
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • DOI 10.1023/A:1007614523901
    • R.E. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, 1999. (Pubitemid 32210620)
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.