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» A Guided Monte Carlo Approach to Optimization Problems
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ISLPED
2000
ACM
97views Hardware» more  ISLPED 2000»
15 years 2 months ago
Achieving utility arbitrarily close to the optimal with limited energy
Energy is one of the limited resources for modern systems, especially the battery-operated devices and personal digital assistants. The backlog in new technologies for more powerf...
Gang Qu, Miodrag Potkonjak
VTC
2007
IEEE
129views Communications» more  VTC 2007»
15 years 4 months ago
Hybrid Model of Least Squares Handover Algorithms in Wireless Networks
Abstract— An adaptive handover algorithm for wireless comn systems is addressed in this extended abstract. Moving from the Generalized Extended Least Square handover algorithm in...
Claudia Rinaldi, Fortunato Santucci, Carlo Fischio...
ATAL
2006
Springer
15 years 1 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 1 months ago
Epsilon-constraint with an efficient cultured differential evolution
In this paper we present the use of a previously developed single-objective optimization approach, together with the -constraint method, to provide an approximation of the Pareto ...
Ricardo Landa Becerra, Carlos A. Coello Coello
CVPR
2004
IEEE
15 years 12 months ago
Collaborative Tracking of Multiple Targets
Coalescence, meaning the tracker associates more than one trajectories to some targets while loses track for others, is a challenging problem for visual tracking of multiple targe...
Ting Yu, Ying Wu