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VLDB
2011
ACM
276views Database» more  VLDB 2011»
14 years 10 months ago
Ranking queries on uncertain data
Uncertain data is inherent in a few important applications such as environmental surveillance and mobile object tracking. Top-k queries (also known as ranking queries) are often n...
Ming Hua, Jian Pei, Xuemin Lin
GECCO
2007
Springer
155views Optimization» more  GECCO 2007»
15 years 9 months ago
Solving the MAXSAT problem using a multivariate EDA based on Markov networks
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
AIPS
2007
15 years 5 months ago
Approximate Solution Techniques for Factored First-Order MDPs
Most traditional approaches to probabilistic planning in relationally specified MDPs rely on grounding the problem w.r.t. specific domain instantiations, thereby incurring a com...
Scott Sanner, Craig Boutilier
ICRA
2003
IEEE
119views Robotics» more  ICRA 2003»
15 years 8 months ago
HPRM: a hierarchical PRM
— We introduce a hierarchical variant of the probabilistic roadmap method for motion planning. By recursively refining an initially sparse sampling in neighborhoods of the C-obs...
Anne D. Collins, Pankaj K. Agarwal, John Harer
PUK
2000
15 years 4 months ago
An Accessibility graph learning approach for task planning in large domains
Abstract. In the stream of research that aims to speed up practical planners, we propose a new approach to task planning based on Probabilistic Roadmap Methods (PRM). Our contribut...
Emmanuel Guere, Rachid Alami