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» Knowledge States: A Tool for Randomized Online Algorithms
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IPL
2007
79views more  IPL 2007»
13 years 5 months ago
Uniform metrical task systems with a limited number of states
We give a randomized algorithm (the ”Wedge Algorithm”) of competitiveness 3 2 Hk − 1 2k for any metrical task system on a uniform space of k points, for any k ≥ 2, where H...
Wolfgang W. Bein, Lawrence L. Larmore, John Noga
SODA
1998
ACM
104views Algorithms» more  SODA 1998»
13 years 6 months ago
On-line Randomized Call Control Revisited
We consider the problem of on-line call admission and routing on trees and meshes. Previous work gave randomized on-line algorithms for these problems and proved that they have opt...
Stefano Leonardi, Alberto Marchetti-Spaccamela, Al...
COLT
2007
Springer
13 years 11 months ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo
BMCBI
2004
149views more  BMCBI 2004»
13 years 5 months ago
MiCoViTo: a tool for gene-centric comparison and visualization of yeast transcriptome states
Background: Information obtained by DNA microarray technology gives a rough snapshot of the transcriptome state, i.e., the expression level of all the genes expressed in a cell po...
Gaëlle Lelandais, Philippe Marc, Pierre Vince...
ICML
2007
IEEE
14 years 6 months ago
Combining online and offline knowledge in UCT
The UCT algorithm learns a value function online using sample-based search. The TD() algorithm can learn a value function offline for the on-policy distribution. We consider three...
Sylvain Gelly, David Silver