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Volumn 22, Issue 1-2, 1998, Pages 157-172

Classification accuracy based on observed margin

Author keywords

Agnostic learning; Computational learning theory; Fat shattering; Generalization; Large margin; Pac estimates

Indexed keywords


EID: 0004154449     PISSN: 01784617     EISSN: None     Source Type: Journal    
DOI: 10.1007/PL00013827     Document Type: Article
Times cited : (12)

References (14)
  • 1
    • 0031176507 scopus 로고    scopus 로고
    • Scale-Sensitive Dimensions, Uniform Convergence, and Learnability
    • N. Alon, S. Ben-David, N. Cesa-Bianchi, and D. Haussler, Scale-Sensitive Dimensions, Uniform Convergence, and Learnability, Journal of the ACM, 44 (1997), 615-631.
    • (1997) Journal of the ACM , vol.44 , pp. 615-631
    • Alon, N.1    Ben-David, S.2    Cesa-Bianchi, N.3    Haussler, D.4
  • 3
    • 0002389877 scopus 로고    scopus 로고
    • The Sample Complexity of Pattern Classification with Neural Networks: The Size of the Weights Is More Important than the Size of the Network
    • Department of Systems Engineering, Australian National University, May
    • P. Bartlett, The Sample Complexity of Pattern Classification with Neural Networks: the Size of the Weights Is More Important than the Size of the Network, Technical Report, Department of Systems Engineering, Australian National University, May 1996.
    • (1996) Technical Report
    • Bartlett, P.1
  • 9
    • 24044490031 scopus 로고    scopus 로고
    • Confidence Estimates of Classification Accuracy on New Examples
    • Proceedings of the EuroCOLT'91 Conference on Computational Learning Theory, 1208, Springer-Verlag, New York
    • J. Shawe-Taylor, Confidence Estimates of Classification Accuracy on New Examples, pages 260-271 in Proceedings of the EuroCOLT'91 Conference on Computational Learning Theory, Lecture Notes in Artificial Intelligence, 1208, Springer-Verlag, New York, 1997.
    • (1997) Lecture Notes in Artificial Intelligence , pp. 260-271
    • Shawe-Taylor, J.1
  • 14
    • 0001024505 scopus 로고
    • On the Uniform Convergence of Relative Frequencies of Events to their Probabilities
    • V. N. Vapnik and A. Ja. Chervonenkis, On the Uniform Convergence of Relative Frequencies of Events to their Probabilities, Theory of Probability and Applications, 16 (1971), 264-280.
    • (1971) Theory of Probability and Applications , vol.16 , pp. 264-280
    • Vapnik, V.N.1    Chervonenkis, A.Ja.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.