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» Decision Making Using Probabilistic Inference Methods
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CORR
2006
Springer
82views Education» more  CORR 2006»
14 years 9 months ago
Explicit Randomness is not Necessary when Modeling Probabilistic Encryption
Although good encryption functions are probabilistic, most symbolic models do not capture this aspect explicitly. A typical solution, recently used to prove the soundness of such ...
Véronique Cortier, Heinrich Hördegen, ...
ICRA
2010
IEEE
120views Robotics» more  ICRA 2010»
14 years 8 months ago
Probabilistic search with agile UAVs
— Through their ability to rapidly acquire aerial imagery, Unmanned Aerial Vehicles (UAVs) have the potential to aid target search tasks. Many of the core algorithms which are us...
Sonia Waharte, Andrew Colquhoun Symington, Niki Tr...
AIPS
2007
15 years 3 days 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
IPPS
2008
IEEE
15 years 4 months ago
Probabilistic allocation of tasks on desktop grids
While desktop grids are attractive platforms for executing parallel applications, their volatile nature has often limited their use to so-called “high-throughput” applications...
Joshua Wingstrom, Henri Casanova
JMLR
2006
105views more  JMLR 2006»
14 years 9 months ago
Expectation Correction for Smoothed Inference in Switching Linear Dynamical Systems
We introduce a method for approximate smoothed inference in a class of switching linear dynamical systems, based on a novel form of Gaussian Sum smoother. This class includes the ...
David Barber