Graph-based methods for semi-supervised learning have recently been shown to be promising for combining labeled and unlabeled data in classification problems. However, inference f...
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
Commonly-used memory units enable a processor to load and store multiple registers in one instruction. We showed in 2003 how to extend gcc with a stack-location-allocation (SLA) ph...
Power dissipation is quickly becoming one of the most important limiters in nanometer IC design for leakage increases exponentially as the technology scaling down. However, power ...
In this paper we combine two existing resource selection approaches, CORI and the decision-theoretic framework (DTF). The state-of-the-art system CORI belongs to the large group of...