407 search results - page 42 / 82 » The Optimal Online Algorithms for Minimizing Maximum Latenes... |
ESA
2006
Springer
15 years 3 months ago
2006
Springer
We consider an optimization problem arising in the design of controllers for OLED displays. Our objective is to minimize amplitude of the electrical current through the diodes whic...
112
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IPCO
2007
15 years 1 months ago
2007
Following the well-studied two-stage optimization framework for stochastic optimization [15, 18], we study approximation algorithms for robust two-stage optimization problems with ...
ESA
2008
Springer
15 years 1 months ago
2008
Springer
The focus is on black-box optimization of a function f : RN R given as a black box, i. e. an oracle for f-evaluations. This is commonly called direct search, and in fact, most meth...
ICML
2006
IEEE
16 years 19 days ago
2006
IEEE
Reinforcement learning (RL) was originally proposed as a framework to allow agents to learn in an online fashion as they interact with their environment. Existing RL algorithms co...
102
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ICML
2010
IEEE
15 years 27 days ago
2010
IEEE
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...