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publications

(29)

• Mistake Bounds and Logarithmic Linear Threshoild Algorithms
  N. Littlestone (1989)
  to imported by brefeld on 2008-10-07 16:03:39
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• Learning when irrelevant attributes abound: A new linear threshold algorithm
  N. Littlestone Machine Learning 2 285-318 (1988)
  to imported by brefeld on 2008-10-07 16:03:39
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• Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm.
  N. Littlestone Machine Learning 285-318 ( 1988 )
  to imported by mgrani and 1 other person on 2008-05-27 08:15:25
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• Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm.
  N. Littlestone Machine Learning 285-318 (1988)
  to imported by grani and 1 other person on 2006-07-16 10:28:56
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• The Weighted Majority Algorithm
  Nick Littlestone and Manfred K. Warmuth IEEE Symposium on Foundations of Computer Science 256-261 (1989)
  to imported by schmitz and 2 other people on 2006-07-04 16:33:03
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• On-Line Learning of Linear Functions
  Nick Littlestone and Philip M. Long and Manfred K. Warmuth STOC 465-475 (1991)
  to dblp by dblp on 2006-04-25 00:00:00
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• Apple Tasting and Nearly One-Sided Learning
  David P. Helmbold and Nick Littlestone and Philip M. Long FOCS 493-502 (1992)
  to dblp by dblp on 2006-04-25 00:00:00
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• The Weighted Majority Algorithm
  Nick Littlestone and Manfred K. Warmuth FOCS 256-261 (1989)
  to dblp by dblp and 2 other people on 2006-04-25 00:00:00
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• Predicting 0,1-Functions on Randomly Drawn Points (Extended Abstract)
  David Haussler and Nick Littlestone and Manfred K. Warmuth FOCS 100-109 (1988)
  to dblp by dblp on 2006-04-25 00:00:00
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• Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (Extended Abstract)
  Nick Littlestone FOCS 68-77 (1987)
  to dblp by dblp on 2006-04-25 00:00:00
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• The Weighted Majority Algorithm
  Nick Littlestone and Manfred K. Warmuth Inf. Comput. 108 212-261 (1994)
  to dblp by dblp on 2006-04-25 00:00:00
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• Predicting \0,1\-Functions on Randomly Drawn Points
  David Haussler and Nick Littlestone and Manfred K. Warmuth Inf. Comput. 115 248-292 (1994)
  to dblp by dblp on 2006-04-25 00:00:00
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• Equivalence of Models for Polynomial Learnability
  David Haussler and Michael J. Kearns and Nick Littlestone and Manfred K. Warmuth Inf. Comput. 95 129-161 (1991)
  to dblp by dblp and 1 other person on 2006-04-25 00:00:00
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• Redundant Noisy Attributes, Attribute Errors, and Linear-Threshold Learning Using Winnow.
  Nick Littlestone COLT 147-156 (1991)
  to dblp by dblp on 2006-03-14 00:00:00
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• From On-Line to Batch Learning.
  Nick Littlestone COLT 269-284 (1989)
  to dblp by dblp on 2006-03-14 00:00:00
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• Predicting 0, 1-Functions on Randomly Drawn Points.
  David Haussler and Nick Littlestone and Manfred K. Warmuth COLT 280-296 (1988)
  to dblp by dblp on 2006-03-14 00:00:00
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• Equivalence of Models for Polynomial Learnability.
  David Haussler and Michael J. Kearns and Nick Littlestone and Manfred K. Warmuth COLT 42-55 (1988)
  to dblp by dblp on 2006-03-14 00:00:00
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• Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes.
  Avrim Blum and Lisa Hellerstein and Nick Littlestone COLT 157-166 (1991)
  to dblp by dblp on 2006-03-14 00:00:00
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• Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes.
  Avrim Blum and Lisa Hellerstein and Nick Littlestone J. Comput. Syst. Sci. 50 32-40 (1995)
  to dblp by dblp on 2003-11-20 00:00:00
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• On-Line Learning with Linear Loss Constraints.
  David P. Helmbold and Nick Littlestone and Philip M. Long Inf. Comput. 161 140-171 (2000)
  to dblp by dblp on 2003-11-20 00:00:00
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