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PERVASIVE
2011
Springer
14 years 7 months ago
Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
We contribute a method for approximating users’ interruptibility costs to use for experience sampling and validate the method in an application that learns when to automatically ...
Stephanie Rosenthal, Anind K. Dey, Manuela M. Velo...
ICIP
2000
IEEE
16 years 6 months ago
POCS-Based Image Reconstruction from Irregularly-Spaced Samples
This paper presents a method for the reconstruction of a regularlysampled image from its irregularly-spaced samples. Such reconstruction is often needed in image processing and co...
Ryszard Stasinski, Janusz Konrad
DAC
2000
ACM
16 years 6 months ago
Efficient variable ordering using aBDD based sampling
Variable ordering for BDDs has been extensively investigated. Recently, sampling based ordering techniques have been proposed to overcome problems with structure based static orde...
Yuan Lu, Jawahar Jain, Edmund M. Clarke, Masahiro ...
ICIAP
2007
ACM
16 years 5 months ago
An information theoretic rule for sample size adaptation in particle filtering
To become robust, a tracking algorithm must be able to support uncertainty and ambiguity often inherently present in the data in form of occlusion and clutter. This comes usually ...
Oswald Lanz

Publication
334views
16 years 1 months ago
Rollout Sampling Approximate Policy Iteration
Several researchers have recently investigated the connection between reinforcement learning and classification. We are motivated by proposals of approximate policy iteration schem...
Christos Dimitrakakis, Michail G. Lagoudakis