Nick Littlestone

Publication Activity (10 Years)

Years Active: 1987-2001
Publications (10 Years): 0

Publications

Adam J. Grove, Nick Littlestone, Dale Schuurmans
General Convergence Results for Linear Discriminant Updates. Mach. Learn. 43 (3) (2001)
David P. Helmbold, Nick Littlestone, Philip M. Long
Apple Tasting. Inf. Comput. 161 (2) (2000)
David P. Helmbold, Nick Littlestone, Philip M. Long
On-Line Learning with Linear Loss Constraints. Inf. Comput. 161 (2) (2000)
Claudio Gentile, Nick Littlestone
-Norm Algorithms. COLT (1999)
Adam J. Grove, Nick Littlestone, Dale Schuurmans
General Convergence Results for Linear Discriminant Updates. COLT (1997)
Nick Littlestone, Chris Mesterharm
An Apobayesian Relative of Winnow. NIPS (1996)
Avrim Blum, Lisa Hellerstein, Nick Littlestone
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. J. Comput. Syst. Sci. 50 (1) (1995)
Nick Littlestone, Philip M. Long, Manfred K. Warmuth
On-line Learning of Linear Functions. Comput. Complex. 5 (1) (1995)
Nick Littlestone
Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes. ICML (1995)
David Haussler, Nick Littlestone, Manfred K. Warmuth
Predicting \0,1\-Functions on Randomly Drawn Points Inf. Comput. 115 (2) (1994)
Nick Littlestone, Manfred K. Warmuth
The Weighted Majority Algorithm Inf. Comput. 108 (2) (1994)
Nick Littlestone, Philip M. Long
On-Line Learning with Linear Loss Constraints. COLT (1993)
David P. Helmbold, Nick Littlestone, Philip M. Long
Apple Tasting and Nearly One-Sided Learning FOCS (1992)
Nick Littlestone
Learning simple Boolean concepts. ALT (1991)
Nick Littlestone, Philip M. Long, Manfred K. Warmuth
On-Line Learning of Linear Functions STOC (1991)
David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth
Equivalence of Models for Polynomial Learnability Inf. Comput. 95 (2) (1991)
Avrim Blum, Lisa Hellerstein, Nick Littlestone
Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes. COLT (1991)
Nick Littlestone
Redundant Noisy Attributes, Attribute Errors, and Linear-Threshold Learning Using Winnow. COLT (1991)
Anselm Blumer, Nick Littlestone
Learning faster than promised by the Vapnik-Chervonenkis dimension. Discret. Appl. Math. 24 (1-3) (1989)
Nick Littlestone
From On-Line to Batch Learning. COLT (1989)
Nick Littlestone, Manfred K. Warmuth
The Weighted Majority Algorithm FOCS (1989)
David Haussler, Nick Littlestone, Manfred K. Warmuth
Predicting {0, 1}-Functions on Randomly Drawn Points. COLT (1988)
David Haussler, Nick Littlestone, Manfred K. Warmuth
Predicting {0,1}-Functions on Randomly Drawn Points (Extended Abstract) FOCS (1988)
David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth
Equivalence of Models for Polynomial Learnability. COLT (1988)
Nick Littlestone
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (Extended Abstract) FOCS (1987)
Nick Littlestone
Learning Quickly When Irrelevant Attributes Abound: A New Linear-threshold Algorithm. Mach. Learn. 2 (4) (1987)