1309 search results - page 113 / 262 » Approaching Optimality for Solving SDD Linear Systems |
137
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ICRA
2009
IEEE
15 years 11 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...
136
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SIAMNUM
2011
14 years 11 months ago
2011
A simultaneous space-time variational formulation of a parabolic evolution problem is solved with an adaptive wavelet method. This method is shown to converge with the best possibl...
170
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JMLR
2006
15 years 4 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
163
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TMI
2011
14 years 11 months ago
2011
—In this paper, we propose a novel predictive model, active volume model (AVM), for object boundary extraction. It is a dynamic “object” model whose manifestation includes a ...
120
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CPAIOR
2007
Springer
15 years 10 months ago
2007
Springer
One of the most important policies adopted in inventory control is the (R,S) policy (also known as the “replenishment cycle” policy). Under the non-stationary demand assumption...