Sciweavers

116 search results - page 1 / 24
» Tracking the Best of Many Experts
Sort
View
COLT
2005
Springer
13 years 11 months ago
Tracking the Best of Many Experts
András György, Tamás Linder, G&...
ICML
1995
IEEE
14 years 7 months ago
Tracking the Best Expert
Mark Herbster, Manfred K. Warmuth
COLT
2007
Springer
14 years 9 days ago
Regret to the Best vs. Regret to the Average
Abstract. We study online regret minimization algorithms in a bicriteria setting, examining not only the standard notion of regret to the best expert, but also the regret to the av...
Eyal Even-Dar, Michael J. Kearns, Yishay Mansour, ...
COLT
2001
Springer
13 years 10 months ago
Tracking a Small Set of Experts by Mixing Past Posteriors
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
Olivier Bousquet, Manfred K. Warmuth
ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
13 years 11 months ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof