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Volumn 6, Issue , 2005, Pages

Multiclass boosting for weak classifiers

Author keywords

Boosting; Classification; Decision stumps; Ensemble; Multiclass

Indexed keywords

ALGORITHMS; DECISION THEORY; ERROR ANALYSIS; MATHEMATICAL TECHNIQUES; OPTIMIZATION; PROBLEM SOLVING;

EID: 21844475408     PISSN: 15337928     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (61)

References (16)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • Erin L. Allwein, Robert E. Schapire, Yoram Singer. Reducing multiclass to binary: A unifying approach for margin classifiers. Machine Learning, 1:113-141, 2000.
    • (2000) Machine Learning , vol.1 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 2
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • Eric Bauer, Ron Kohavi. An empirical comparison of voting classification algorithms: bagging, boosting and variants. Machine Learning, 36:105-139, 1999.
    • (1999) Machine Learning , vol.36 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 3
    • 0003408496 scopus 로고    scopus 로고
    • Irvine, CA: University of California, Department of Information and Computer Science
    • Catherine Blake, Christopher J. Merz. UCI Repository of machine learning databases [http://www.ics.uci.edu/ mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science, 1998
    • (1998) UCI Repository of Machine Learning Databases
    • Blake, C.1    Merz, C.J.2
  • 4
  • 8
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of online-learning and an application to boosting
    • Yoav Freund, Robert E. Schapire. A decision-theoretic generalization of online-learning and an application to boosting. Journal of Computer and System Sciences, 55(1):119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 10
    • 84879873079 scopus 로고    scopus 로고
    • Direct optimization of margins improves generalization in combined classifiers
    • Llew Mason, Peter L. Bartlett, Jonathan Baxter. Direct optimization of margins improves generalization in combined classifiers. Proceedings of NIPS 98, 288-294, 1998.
    • (1998) Proceedings of NIPS 98 , pp. 288-294
    • Mason, L.1    Bartlett, P.L.2    Baxter, J.3
  • 15
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: A new explanation for the effectiveness of voting methods
    • Robert E. Schapire, Yoav Freund, Peter L. Bartlett, Wee Sun Lee. Boosting the margin: A new explanation for the effectiveness of voting methods. Annals of Statistics, 26(5):1651-1686, 1998.
    • (1998) Annals of Statistics , vol.26 , Issue.5 , pp. 1651-1686
    • Schapire, R.E.1    Freund, Y.2    Bartlett, P.L.3    Wee Sun Lee4
  • 16
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Robert E. Schapire, Yoram Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning 37:297-336, 1999.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.