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Nick Littlestone: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Nick Littlestone
    Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (Extended Abstract) [Citation Graph (1, 0)][DBLP]
    FOCS, 1987, pp:68-77 [Conf]
  2. Avrim Blum, Lisa Hellerstein, Nick Littlestone
    Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:157-166 [Conf]
  3. Claudio Gentile, Nick Littlestone
    The Robustness of the p-Norm Algorithms. [Citation Graph (0, 0)][DBLP]
    COLT, 1999, pp:1-11 [Conf]
  4. Adam J. Grove, Nick Littlestone, Dale Schuurmans
    General Convergence Results for Linear Discriminant Updates. [Citation Graph (0, 0)][DBLP]
    COLT, 1997, pp:171-183 [Conf]
  5. David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth
    Equivalence of Models for Polynomial Learnability. [Citation Graph (0, 0)][DBLP]
    COLT, 1988, pp:42-55 [Conf]
  6. David Haussler, Nick Littlestone, Manfred K. Warmuth
    Predicting {0, 1}-Functions on Randomly Drawn Points. [Citation Graph (0, 0)][DBLP]
    COLT, 1988, pp:280-296 [Conf]
  7. Nick Littlestone
    From On-Line to Batch Learning. [Citation Graph (0, 0)][DBLP]
    COLT, 1989, pp:269-284 [Conf]
  8. Nick Littlestone
    Redundant Noisy Attributes, Attribute Errors, and Linear-Threshold Learning Using Winnow. [Citation Graph (0, 0)][DBLP]
    COLT, 1991, pp:147-156 [Conf]
  9. Nick Littlestone, Philip M. Long
    On-Line Learning with Linear Loss Constraints. [Citation Graph (0, 0)][DBLP]
    COLT, 1993, pp:412-421 [Conf]
  10. David P. Helmbold, Nick Littlestone, Philip M. Long
    Apple Tasting and Nearly One-Sided Learning [Citation Graph (0, 0)][DBLP]
    FOCS, 1992, pp:493-502 [Conf]
  11. David Haussler, Nick Littlestone, Manfred K. Warmuth
    Predicting {0,1}-Functions on Randomly Drawn Points (Extended Abstract) [Citation Graph (0, 0)][DBLP]
    FOCS, 1988, pp:100-109 [Conf]
  12. Nick Littlestone, Manfred K. Warmuth
    The Weighted Majority Algorithm [Citation Graph (0, 0)][DBLP]
    FOCS, 1989, pp:256-261 [Conf]
  13. Nick Littlestone
    Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes. [Citation Graph (0, 0)][DBLP]
    ICML, 1995, pp:353-361 [Conf]
  14. Nick Littlestone, Chris Mesterharm
    An Apobayesian Relative of Winnow. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:204-210 [Conf]
  15. Nick Littlestone, Philip M. Long, Manfred K. Warmuth
    On-Line Learning of Linear Functions [Citation Graph (0, 0)][DBLP]
    STOC, 1991, pp:465-475 [Conf]
  16. Nick Littlestone, Philip M. Long, Manfred K. Warmuth
    On-line Learning of Linear Functions. [Citation Graph (0, 0)][DBLP]
    Computational Complexity, 1995, v:5, n:1, pp:1-23 [Journal]
  17. David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth
    Equivalence of Models for Polynomial Learnability [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1991, v:95, n:2, pp:129-161 [Journal]
  18. David Haussler, Nick Littlestone, Manfred K. Warmuth
    Predicting \0,1\-Functions on Randomly Drawn Points [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1994, v:115, n:2, pp:248-292 [Journal]
  19. David P. Helmbold, Nick Littlestone, Philip M. Long
    Apple Tasting. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2000, v:161, n:2, pp:85-139 [Journal]
  20. David P. Helmbold, Nick Littlestone, Philip M. Long
    On-Line Learning with Linear Loss Constraints. [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 2000, v:161, n:2, pp:140-171 [Journal]
  21. Nick Littlestone, Manfred K. Warmuth
    The Weighted Majority Algorithm [Citation Graph (0, 0)][DBLP]
    Inf. Comput., 1994, v:108, n:2, pp:212-261 [Journal]
  22. Avrim Blum, Lisa Hellerstein, Nick Littlestone
    Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. [Citation Graph (0, 0)][DBLP]
    J. Comput. Syst. Sci., 1995, v:50, n:1, pp:32-40 [Journal]
  23. Adam J. Grove, Nick Littlestone, Dale Schuurmans
    General Convergence Results for Linear Discriminant Updates. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2001, v:43, n:3, pp:173-210 [Journal]
  24. Nick Littlestone
    Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1987, v:2, n:4, pp:285-318 [Journal]

  25. Learning faster than promised by the Vapnik-Chervonenkis dimension. [Citation Graph (, )][DBLP]


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