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Volumn , Issue , 2009, Pages 2259-2267

DUOL: A double updating approach for online learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; E-LEARNING; LEARNING ALGORITHMS; LEARNING SYSTEMS;

EID: 77956518906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (20)
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    • Cavallanti, G.1    Cesa-Bianchi, N.2    Gentile, C.3
  • 2
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    • On the generalization ability of on-line learning algorithms
    • Cesa-Bianchi, N., Conconi, A., & Gentile, C. (2004). On the generalization ability of on-line learning algorithms. IEEE Trans. on Inf. Theory, 50, 2050-2057.
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    • Cesa-Bianchi, N.1    Conconi, A.2    Gentile, C.3
  • 3
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    • Tracking the best hyperplane with a simple budget percep-tron
    • Cesa-Bianchi, N., & Gentile, C. (2006). Tracking the best hyperplane with a simple budget percep-tron. COLT (pp. 483-498).
    • (2006) COLT , pp. 483-498
    • Cesa-Bianchi, N.1    Gentile, C.2
  • 7
    • 0141496132 scopus 로고    scopus 로고
    • Ultraconservative online algorithms for multiclass problems
    • Crammer, K., & Singer, Y. (2003). Ultraconservative online algorithms for multiclass problems. JMLR, 3, 951-991.
    • (2003) JMLR , vol.3 , pp. 951-991
    • Crammer, K.1    Singer, Y.2
  • 8
    • 84864063405 scopus 로고    scopus 로고
    • The forgetron: A kernel-based perceptron on a fixed budget
    • Dekel, O., Shalev-Shwartz, S., & Singer, Y. (2005). The forgetron: A kernel-based perceptron on a fixed budget. NIPS.
    • (2005) NIPS
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 9
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    • The forgetron: A kernel-based perceptron on a budget
    • Dekel, O., Shalev-Shwartz, S., & Singer, Y. (2008). The forgetron: A kernel-based perceptron on a budget. SIAM J. Comput., 37, 1342-1372.
    • (2008) SIAM J. Comput. , vol.37 , pp. 1342-1372
    • Dekel, O.1    Shalev-Shwartz, S.2    Singer, Y.3
  • 10
    • 33749255397 scopus 로고    scopus 로고
    • Online multiclass learning by inter-class hypothesis sharing
    • Fink, M., Shalev-Shwartz, S., Singer, Y., & Ullman, S. (2006). Online multiclass learning by inter-class hypothesis sharing. ICML (pp. 313-320).
    • (2006) ICML , pp. 313-320
    • Fink, M.1    Shalev-Shwartz, S.2    Singer, Y.3    Ullman, S.4
  • 11
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Freund, Y., & Schapire, R. E. (1999). Large margin classification using the perceptron algorithm. Mach. Learn., 37, 277-296.
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  • 12
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    • A new approximate maximal margin classification algorithm
    • Gentile, C. (2001). A new approximate maximal margin classification algorithm. JMLR, 2, 213-242.
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    • The relaxed online maximum margin algorithm
    • Li, Y., & Long, P. M. (1999). The relaxed online maximum margin algorithm. NIPS (pp. 498-504).
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    • Li, Y.1    Long, P.M.2
  • 16
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  • 17
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  • 18
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  • 19
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    • Weston, J., & Bordes, A. (2005). Online (and offline) on an even tighter budget. AISTATS (pp. 413-420).
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.