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Volumn , Issue , 2010, Pages

Agnostic active learning without constraints

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FRACTURE MECHANICS;

EID: 85161966389     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (130)

References (22)
  • 1
    • 0028424239 scopus 로고
    • Improving generalization with active learning
    • D. Cohn, L. Atlas, and R. Ladner. Improving generalization with active learning. Machine Learning, 15(2):201-221, 1994.
    • (1994) Machine Learning , vol.15 , Issue.2 , pp. 201-221
    • Cohn, D.1    Atlas, L.2    Ladner, R.3
  • 7
    • 85162076036 scopus 로고    scopus 로고
    • Rademacher complexities and bounding the excess risk in active learning
    • V. Koltchinskii. Rademacher complexities and bounding the excess risk in active learning. Manuscript, 2009.
    • (2009) Manuscript
    • Koltchinskii, V.1
  • 16
    • 3142725508 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • A. B. 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.B.1
  • 19
    • 84898466550 scopus 로고    scopus 로고
    • Data dependent concentration bounds for sequential prediction algorithms
    • T. Zhang. Data dependent concentration bounds for sequential prediction algorithms. In Eighteenth Annual Conference on Learning Theory, 2005.
    • (2005) Eighteenth Annual Conference on Learning Theory
    • Zhang, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.