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Volumn 3559 LNAI, Issue , 2005, Pages 95-110

The value of agreement, a new boosting algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLASSIFIERS; LEARNING SYSTEMS; PROBLEM SOLVING; VALUE ENGINEERING;

EID: 26944496438     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11503415_7     Document Type: Conference Paper
Times cited : (18)

References (21)
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    • ISBN:3-540-00529-3
    • R.Meir and G. Rätsch: An Introduction to Boosting and Leveraging. Advanced lectures on machine learning. Pages: 118-183. ISBN:3-540-00529-3.
    • Advanced Lectures on Machine Learning , pp. 118-183
    • Meir, R.1    Rätsch, G.2
  • 2
    • 0038453192 scopus 로고    scopus 로고
    • Rademacher and Gaussian complexities: Risk bounds and structural results
    • P.L. Bartlett and S. Mendelson: Rademacher and Gaussian Complexities: Risk bounds and Structural Results. The Journal of Machine Learning Research, Vol 3. 2003. Pages 463-482.
    • (2003) The Journal of Machine Learning Research , vol.3 , pp. 463-482
    • Bartlett, P.L.1    Mendelson, S.2
  • 3
    • 0036104545 scopus 로고    scopus 로고
    • Empirical margin distributions and bounding the generalization error of combined classifiers
    • February
    • V. Koltchinskii and D. Panchenko: Empirical margin distributions and bounding the generalization error of combined classifiers. The Annals of Statistics, 30(1), February 2002.
    • (2002) The Annals of Statistics , vol.30 , Issue.1
    • Koltchinskii, V.1    Panchenko, D.2
  • 9
    • 0005004572 scopus 로고    scopus 로고
    • A probability analysis on the value of unlabeled data for classification problems
    • T. Zhang and F. Oles, A probability analysis on the value of unlabeled data for classification problems. In Proc. of the Int. Conference on Machine Learning, 2000.
    • (2000) Proc. of the Int. Conference on Machine Learning
    • Zhang, T.1    Oles, F.2
  • 10
    • 1842843693 scopus 로고    scopus 로고
    • Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information
    • Seong-Bae Park and Byoung-Tak Zhang: Co-trained support vector machines for large scale unstructured document classification using unlabeled data and syntactic information. In Information Processing and Management: an International Journal Vol. 40(3), 2004.
    • (2004) Information Processing and Management: An International Journal , vol.40 , Issue.3
    • Park, S.-B.1    Zhang, B.-T.2
  • 17
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Yoav Freund and Robert E. Schapire: A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Computer and System Sciences, 55(1), 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1
    • Freund, Y.1    Schapire, R.E.2
  • 18
    • 0010861757 scopus 로고    scopus 로고
    • Boosting algorithms as gradient descent in function space
    • Australian National University
    • L. Mason, J. Baxter, P. L. Bartlett, and M. Frean. Boosting algorithms as gradient descent in function space. Technical report, RSISE, Australian National University 1999.
    • (1999) Technical Report, RSISE
    • Mason, L.1    Baxter, J.2    Bartlett, P.L.3    Frean, M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.