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» Dependence Modeling for Stochastic Simulation
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ATAL
2007
Springer
14 years 4 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
PATMOS
2007
Springer
14 years 4 months ago
Optimization for Real-Time Systems with Non-convex Power Versus Speed Models
Abstract. Until now, the great majority of research in low-power systems has assumed a convex power model. However, recently, due to the confluence of emerging technological and ar...
Ani Nahapetian, Foad Dabiri, Miodrag Potkonjak, Ma...
ISQED
2003
IEEE
119views Hardware» more  ISQED 2003»
14 years 3 months ago
System and Framework for QA of Process Design Kits
In this paper, we evaluate the dependencies between tools, data and environment in process design kits, and present a framework for systematically analyzing the quality of the des...
M. C. Scott, M. O. Peralta, Jo Dale Carothers
VISUALIZATION
2002
IEEE
14 years 3 months ago
Visualizing Dynamic Molecular Conformations
The bioactivity of a molecule strongly depends on its metastable conformational shapes and the transitions between these. Therefore, conformation analysis and visualization is a b...
Johannes Schmidt-Ehrenberg, Daniel Baum, Hans-Chri...
COGSCI
2007
109views more  COGSCI 2007»
13 years 10 months ago
Understanding the Emergence of Modularity in Neural Systems
: Modularity in the human brain remains a controversial issue, with disagreement over the nature of the modules that exist, and why, when and how they emerge. It is a natural assum...
John A. Bullinaria