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» Optimal Ordered Problem Solver
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94
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WSC
2001
15 years 2 months ago
Reducing input parameter uncertainty for simulations
Parameters of statistical distributions that are input to simulations are typically not known with certainty. For existing systems, or variations on existing systems, they are oft...
Szu Hui Ng, Stephen E. Chick
73
Voted
CORR
2008
Springer
89views Education» more  CORR 2008»
15 years 27 days ago
On Endogenous Reconfiguration in Mobile Robotic Networks
: In this paper, our focus is on certain applications for mobile robotic networks, where reconfiguration is driven by factors intrinsic to the network rather than changes in the ex...
Ketan Savla, Emilio Frazzoli
COR
2006
98views more  COR 2006»
15 years 26 days ago
Exploiting semidefinite relaxations in constraint programming
Constraint programming uses enumeration and search tree pruning to solve combinatorial optimization problems. In order to speed up this solution process, we investigate the use of...
Willem Jan van Hoeve
100
Voted
JMLR
2008
117views more  JMLR 2008»
15 years 24 days ago
Active Learning by Spherical Subdivision
We introduce a computationally feasible, "constructive" active learning method for binary classification. The learning algorithm is initially formulated for separable cl...
Falk-Florian Henrich, Klaus Obermayer
AROBOTS
2005
100views more  AROBOTS 2005»
15 years 22 days ago
A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets
This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The target...
Rafael Murrieta-Cid, Benjamín Tovar, Seth H...