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Volumn 3720 LNAI, Issue , 2005, Pages 206-217

Margin-sparsity trade-off for the set covering machine

Author keywords

[No Author keywords available]

Indexed keywords

DATA COMPRESSION; DATABASE SYSTEMS; LEARNING SYSTEMS; RISK ASSESSMENT;

EID: 33646407546     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11564096_23     Document Type: Conference Paper
Times cited : (9)

References (15)
  • 1
    • 0010575050 scopus 로고    scopus 로고
    • Combinatorial variability of Vapnik-Chervonenkis classes
    • Shai Ben-David and A. Litman. Combinatorial variability of Vapnik-Chervonenkis classes. Discrete Applied Mathematics, 86 (1998) 3-25
    • (1998) Discrete Applied Mathematics , vol.86 , pp. 3-25
    • Ben-David, S.1    Litman, A.2
  • 2
    • 0002935122 scopus 로고    scopus 로고
    • Combining support vector and mathematical programming methods for classifications
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, MIT Press, Cambridge MA
    • Kristin P. Bennett. Combining support vector and mathematical programming methods for classifications. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods-Support Vector Learning, MIT Press, Cambridge MA, (1999) 307-326.
    • (1999) Advances in Kernel Methods-Support Vector Learning , pp. 307-326
    • Bennett, K.P.1
  • 4
    • 9444288055 scopus 로고    scopus 로고
    • PAC-MDL bounds
    • Proceedings of 16th Annual Conference on Learning Theory, COLT 2003, Washington, DC, August 2003, Springer, Berlin
    • Avrim Blum and John Langford. PAC-MDL bounds. In Proceedings of 16th Annual Conference on Learning Theory, COLT 2003, Washington, DC, August 2003, volume 2777 of Lecture Notes in Artificial Intelligence, Springer, Berlin (2003) 344-357
    • (2003) Lecture Notes in Artificial Intelligence , vol.2777 , pp. 344-357
    • Blum, A.1    Langford, J.2
  • 6
    • 0029521676 scopus 로고
    • Sample compression, learnability, and the Vapnik-Chervonenkis dimension
    • Sally Floyd and Manfred Warmuth. Sample compression, learnability, and the Vapnik-Chervonenkis dimension. Machine Learning, 213 (1995) 269-304
    • (1995) Machine Learning , vol.213 , pp. 269-304
    • Floyd, S.1    Warmuth, M.2
  • 9
    • 21844462365 scopus 로고    scopus 로고
    • Tutorial on practical prediction theory for classification
    • John Langford. Tutorial on practical prediction theory for classification. Journal of Machine Learning Reasearch, 3 (2005) 273-306.
    • (2005) Journal of Machine Learning Reasearch , vol.3 , pp. 273-306
    • Langford, J.1
  • 10
    • 0041995194 scopus 로고
    • Relating data compression and learnability
    • University of California Santa Cruz, Santa Cruz, CA
    • N. Littlestone and M. Warmuth. Relating data compression and learnability. Technical report, University of California Santa Cruz, Santa Cruz, CA, (1986)
    • (1986) Technical Report
    • Littlestone, N.1    Warmuth, M.2
  • 12
    • 21844445831 scopus 로고    scopus 로고
    • Learning with decision lists of data-dependent Features
    • Mario Marchand and Marina Sokolova. Learning with decision lists of data-dependent Features, Journal of Machine Learning Reasearch, 6 (2005) 427-451.
    • (2005) Journal of Machine Learning Reasearch , vol.6 , pp. 427-451
    • Marchand, M.1    Sokolova, M.2
  • 13
    • 0036160893 scopus 로고    scopus 로고
    • Rademacher averages and phase transitions in Glivenko-Cantelli class
    • S. Mendelson. Rademacher averages and phase transitions in Glivenko-Cantelli class. IEEE Transactions on Information Theory, 48 (2002) 251-263
    • (2002) IEEE Transactions on Information Theory , vol.48 , pp. 251-263
    • Mendelson, S.1


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