509 search results - page 41 / 102 » Using Learning for Approximation in Stochastic Processes |
144
Voted
ECML
2005
Springer
15 years 8 months ago
2005
Springer
This paper investigates a novel model-free reinforcement learning architecture, the Natural Actor-Critic. The actor updates are based on stochastic policy gradients employing Amari...
127
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ICON
2007
IEEE
15 years 8 months ago
2007
IEEE
- In this paper we analyze the performance, utilization, and power estimation of server systems by both adopting the batch service and adjusting the batch size. In addition to redu...
139
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EMSOFT
2007
Springer
15 years 6 months ago
2007
Springer
This paper deals with energy-aware real-time system scheduling using dynamic voltage scaling (DVS) for energy-constrained embedded systems that execute variable and unpredictable ...
107
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COR
2008
15 years 2 months ago
2008
: The paper presents results on the runtime complexity of two ant colony optimization (ACO) algorithms: Ant System, the oldest ACO variant, and GBAS, the first ACO variant for whic...
123
Voted
EMNLP
2010
15 years 14 days ago
2010
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...