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Volumn , Issue , 2010, Pages

On the theory of learning with privileged information

Author keywords

[No Author keywords available]

Indexed keywords

PERSONNEL TRAINING;

EID: 85162041112     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (101)

References (10)
  • 2
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. Vapnik. Support-vector networks. Machine Learning, 20(3):273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 3
    • 0029342607 scopus 로고
    • Lower bounds in pattern recognition and learning
    • L. Devroye and G. Lugosi. Lower bounds in pattern recognition and learning. Pattern Recognition, 28(7):1011-1018, 1995.
    • (1995) Pattern Recognition , vol.28 , Issue.7 , pp. 1011-1018
    • Devroye, L.1    Lugosi, G.2
  • 4
    • 33746227538 scopus 로고    scopus 로고
    • Concentration inequalities and asymptotic resutls for ratio type empirical processes
    • E. Gine and V. Koltchinskii. Concentration inequalities and asymptotic resutls for ratio type empirical processes. Annals of Probability, 34(3):1143-1216, 2006.
    • (2006) Annals of Probability , vol.34 , Issue.3 , pp. 1143-1216
    • Gine, E.1    Koltchinskii, V.2
  • 6
    • 33746243474 scopus 로고    scopus 로고
    • Risk bounds for statistical learning
    • P. Massart and E. Nedelec. Risk bounds for statistical learning. Annals of Statistics, 34(5):2326-2366, 2006.
    • (2006) Annals of Statistics , vol.34 , Issue.5 , pp. 2326-2366
    • Massart, P.1    Nedelec, E.2
  • 7
    • 3142725508 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • A. Tsybakov. Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32(1):135-166, 2004.
    • (2004) Annals of Statistics , vol.32 , Issue.1 , pp. 135-166
    • Tsybakov, A.1
  • 9
    • 68149165759 scopus 로고    scopus 로고
    • A new learning paradigm: Learning using privileged information
    • V. Vapnik and A. Vashist. A new learning paradigm: Learning using privileged information. Neural Networks, 22(5-6):544-557, 2009.
    • (2009) Neural Networks , vol.22 , Issue.5-6 , pp. 544-557
    • Vapnik, V.1    Vashist, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.