Littlestone, Nick

13 publications

MLJ 2001 General Convergence Results for Linear Discriminant Updates Adam J. Grove, Nick Littlestone, Dale Schuurmans

COLT 1999 The Robustness of the P-Norm Algorithms Claudio Gentile, Nick Littlestone

COLT 1997 General Convergence Results for Linear Discriminant Updates Adam J. Grove, Nick Littlestone, Dale Schuurmans

NeurIPS 1996 An Apobayesian Relative of Winnow Nick Littlestone, Chris Mesterharm

ICML 1995 Comparing Several Linear-Threshold Learning Algorithms on Tasks Involving Superfluous Attributes Nick Littlestone

COLT 1993 On-Line Learning with Linear Loss Constraints Nick Littlestone, Philip M. Long

ALT 1991 Learning Simple Boolean Concepts Nick Littlestone

COLT 1991 Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes Avrim Blum, Lisa Hellerstein, Nick Littlestone

COLT 1991 Redundant Noisy Attributes, Attribute Errors, and Linear-Threshold Learning Using Winnow Nick Littlestone

COLT 1989 From On-Line to Batch Learning Nick Littlestone

COLT 1988 Equivalence of Models for Polynomial Learnability David Haussler, Michael J. Kearns, Nick Littlestone, Manfred K. Warmuth

COLT 1988 Predicting 0, 1-Functions on Randomly Drawn Points David Haussler, Nick Littlestone, Manfred K. Warmuth

MLJ 1987 Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm Nick Littlestone