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» Monte Carlo simulation approach to stochastic programming
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JMLR
2012
13 years 8 months ago
Bayesian Quadrature for Ratios
We describe a novel approach to quadrature for ratios of probabilistic integrals, such as are used to compute posterior probabilities. This approach offers performance superior t...
Michael A. Osborne, Roman Garnett, Stephen J. Robe...
UAI
2008
15 years 7 months ago
Church: a language for generative models
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
ICRA
2006
IEEE
131views Robotics» more  ICRA 2006»
16 years 5 days ago
A Practical Algorithm for Network Topology Inference
— When a network of robots or static sensors is emplaced in an environment, the spatial relationships between the sensing units must be inferred or computed for most key applicat...
Dimitri Marinakis, Gregory Dudek
KR
1989
Springer
15 years 10 months ago
Situated Control Rules
In this work we extend the work of Dean, Kaelbling, Kirman and Nicholson on planning under time constraints in stochastic domains to handle more complicated scheduling problems. I...
Mark Drummond
145
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ASUNAM
2010
IEEE
15 years 7 months ago
Fast Discovery of Reliable Subnetworks
Abstract--We present a novel and efficient algorithm, PATH COVERING, for solving the most reliable subgraph problem. A reliable subgraph gives a concise summary of the connectivity...
Petteri Hintsanen, Hannu Toivonen, Petteri Sevon