Detection of a global predicate is a fundamental problem in distributed computing. In this paper we describe new predicate detection algorithms for certain temporal logic predicat...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
This paper investigates a Bayesian model and a Markov chain Monte Carlo (MCMC) algorithm for gene factor analysis. Each sample in the dataset is decomposed as a linear combination...
Cecile Bazot, Nicolas Dobigeon, Jean-Yves Tournere...
The traditional statistical assumption for interpreting histograms and justifying approximate query processing methods based on them is that all elements in a bucket have the same...
Modern distributed systems that have to avoid performance degradation and system overload require several runtime management decisions for load balancing and load sharing, overloa...