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556
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The Weighted Majority Algorithm
– Nick Littlestone, Manfred K. Warmuth
- 1994
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211
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Aggregating strategies
– V G Vovk
- 1990
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605
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Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
– Nick Littlestone
- 1988
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51
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Tight Worst-Case Loss Bounds for Predicting With Expert Advice
– David Haussler, Jyrki Kivinen, Manfred K. Warmuth
- 1994
|
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1714
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A Decision-Theoretic Generalization of on-Line Learning and an Application to Boosting
– Yoav Freund, Robert E. Schapire
- 1997
|
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31
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Learning Probabilistic Prediction Functions
– A DeSantis, G Markowski, M N Wegman
- 1988
|
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119
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Additive versus exponentiated gradient updates for linear prediction
– J Kivinen, M K Warmuth
- 1995
|
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122
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Universal Portfolios
– Thomas M. Cover
- 1996
|
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26
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A randomization rule for selecting forecasts
– D Foster, R Vohra
- 1993
|
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6517
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Elements of information theory
– T Cover, J Thomas
- 1991
|
|
196
|
Exponentiated Gradient Versus Gradient Descent for Linear Predictors
– Jyrki Kivinen, Manfred K. Warmuth
- 1995
|
|
86
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A Game of Prediction with Expert Advice
– V. Vovk, V. Vovk
- 1997
|
|
114
|
Empirical Support for Winnow and Weighted-Majority Algorithms: Results on a Calendar Scheduling Domain
– Avrim Blum
- 1995
|
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96
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Mistake bounds and logarithmic linear-threshold learning algorithms
– N Littlestone
- 1989
|
|
72
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Universal consistency and cautious fictitious play
– D Fudenberg, D Levine
- 1995
|
|
95
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Redundant noisy attributes, attribute errors, and linear-threshold learning using Winnow
– N Littlestone
- 1991
|
|
157
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Tracking the best expert
– Mark Herbster, Manfred, K. Warmuth, Gerhard Widmer, Miroslav Kubat
- 1995
|
|
71
|
Learning boolean functions in an infinite attribute space
– A Blum
- 1992
|
|
129
|
Universal prediction of individual sequences
– Meir Feder, Neri Merhav, Michael Gutman
- 1992
|
