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» Dynamic power management using machine learning
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IWCLS
2007
Springer
15 years 9 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
COLT
1999
Springer
15 years 7 months ago
Multiclass Learning, Boosting, and Error-Correcting Codes
We focus on methods to solve multiclass learning problems by using only simple and efficient binary learners. We investigate the approach of Dietterich and Bakiri [2] based on er...
Venkatesan Guruswami, Amit Sahai
145
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ECUMN
2007
Springer
15 years 9 months ago
Enforcing Access Control Using Risk Assessment
Context-based access control is an emerging approach for modeling adaptive solution, making access control management more flexible and powerful. But in the ubiquitous environment...
Nguyen Ngoc Diep, Le Xuan Hung, Yonil Zhung, Sungy...
JSSPP
2007
Springer
15 years 9 months ago
A Self-optimized Job Scheduler for Heterogeneous Server Clusters
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
Elad Yom-Tov, Yariv Aridor
ICML
2009
IEEE
16 years 4 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint