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» Online Bounds for Bayesian Algorithms
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AAAI
2007
15 years 6 days ago
Combining Multiple Heuristics Online
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
ICPP
1998
IEEE
15 years 2 months ago
Improving Parallel-Disk Buffer Management using Randomized Writeback
We address the problems of I/O scheduling and buffer management for general reference strings in a parallel I/O system. Using the standard parallel disk model withD disks and a sh...
Mahesh Kallahalla, Peter J. Varman
ICML
2010
IEEE
14 years 11 months ago
Multi-Class Pegasos on a Budget
When equipped with kernel functions, online learning algorithms are susceptible to the "curse of kernelization" that causes unbounded growth in the model size. To addres...
Zhuang Wang, Koby Crammer, Slobodan Vucetic
COCOON
2005
Springer
15 years 3 months ago
Exploring Simple Grid Polygons
Abstract. We investigate the online exploration problem of a shortsighted mobile robot moving in an unknown cellular room without obstacles. The robot has a very limited sensor; it...
Christian Icking, Thomas Kamphans, Rolf Klein, Elm...
CORR
2010
Springer
201views Education» more  CORR 2010»
14 years 7 months ago
Online Advertisement, Optimization and Stochastic Networks
In this paper, we propose a stochastic model to describe how search service providers charge client companies based on users' queries for the keywords related to these compan...
R. Srikant