874 search results - page 54 / 175 » Iterative Learning Control - Monotonicity and Optimization |
126
Voted
DATE
2007
IEEE
15 years 9 months ago
2007
IEEE
We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
131
Voted
TNN
2008
15 years 2 months ago
2008
This paper addresses the problem of the optimal design of numerical experiments for the construction of nonlinear surrogate models. We describe a new method, called learner disagre...
127
Voted
JMLR
2012
13 years 5 months ago
2012
“Energy” models for continuous domains can be applied to many problems, but often suffer from high computational expense in training, due to the need to repeatedly minimize t...
142
Voted
IJCAI
2001
15 years 4 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
137
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
In this paper we propose a Particle Filter-based propagation approach for the segmentation of vascular structures in 3D volumes. Because of pathologies and inhomogeneities, many de...