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ICML
2009
IEEE
15 years 10 months ago
Robot trajectory optimization using approximate inference
The general stochastic optimal control (SOC) problem in robotics scenarios is often too complex to be solved exactly and in near real time. A classical approximate solution is to ...
Marc Toussaint
RSFDGRC
2005
Springer
100views Data Mining» more  RSFDGRC 2005»
15 years 3 months ago
A Hybrid Approach to MR Imaging Segmentation Using Unsupervised Clustering and Approximate Reducts
Abstract. We introduce a hybrid approach to magnetic resonance image segmentation using unsupervised clustering and the rules derived from approximate decision reducts. We utilize ...
Sebastian Widz, Kenneth Revett, Dominik Slezak
QUESTA
2007
91views more  QUESTA 2007»
14 years 9 months ago
Iterative approximation of k -limited polling systems
The present paper deals with the problem of calculating queue length distributions in a polling model with (exhaustive) k-limited service under the assumption of general arrival, ...
M. van Vuuren, Erik M. M. Winands
INFORMS
2010
90views more  INFORMS 2010»
14 years 8 months ago
Approximate Dynamic Programming for Ambulance Redeployment
We present an approximate dynamic programming approach for making ambulance redeployment decisions in an emergency medical service system. The primary decision is where we should ...
Matthew S. Maxwell, Mateo Restrepo, Shane G. Hende...
APPML
2011
14 years 4 months ago
On Taylor/Eddy solutions of approximate deconvolution models of turbulence
This article shows that, so called, general Green-Taylor solutions, also called Taylor solutions or eddy solutions of the 2d Navier Stokes equations are also exact solutions to app...
William J. Layton