When computationally intensive tasks have to be carried out on trusted, but limited, platforms such as smart cards, it becomes necessary to compensate for the limited resources me...
Abstract. We use a Markov Chain Monte Carlo (MCMC) MML algorithm to learn hybrid Bayesian networks from observational data. Hybrid networks represent local structure, using conditi...
In functional programming, intermediate data structures are often used to “glue’) together small programs. Deforestation is a program transformation to remove these intermedia...
Content delivery is becoming increasingly popular on the Internet. There are many ways to match content to subscribers. In this paper, we focus on subsumption-based matching. We p...
We study the problem of two-dimensional Delaunay triangulation in the self-improving algorithms model [1]. We assume that the n points of the input each come from an independent, ...