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» Monte Carlo methods for matrix computations on the grid
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LSSC
2005
Springer
15 years 3 months ago
Ant Algorithm for Grid Scheduling Problem
Abstract. Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geog...
Stefka Fidanova, Mariya K. Durchova
CG
2006
Springer
15 years 1 months ago
Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search
Monte-Carlo evaluation consists in estimating a position by averaging the outcome of several random continuations, and can serve as an evaluation function at the leaves of a min-ma...
Rémi Coulom
PR
2011
14 years 14 days ago
Generalized darting Monte Carlo
One of the main shortcomings of Markov chain Monte Carlo samplers is their inability to mix between modes of the target distribution. In this paper we show that advance knowledge ...
Cristian Sminchisescu, Max Welling
SAC
2008
ACM
14 years 9 months ago
Adaptive methods for sequential importance sampling with application to state space models
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...
Julien Cornebise, Eric Moulines, Jimmy Olsson
CGF
2008
129views more  CGF 2008»
14 years 9 months ago
Sequential Monte Carlo Adaptation in Low-Anisotropy Participating Media
This paper presents a novel method that effectively combines both control variates and importance sampling in a sequential Monte Carlo context. The radiance estimates computed dur...
Vincent Pegoraro, Ingo Wald, Steven G. Parker