Abstract − We address the estimation of quantiles from heavy-tailed distributions when functional covariate information is available and in the case where the order of the quanti...
Abstract. Writing dependently typed functional programs that capture non-trivial program properties, such as those involving membership, ordering and non-linear arithmetic, is diff...
We study the representation, derivation and utilization of a special kind of constraints in multidatabase systems. A major challenge is when component database schemas are schemat...
Abstract. The notion of user preference in database modeling has recently received much attention in advanced applications, such as personalization of e-services, since it captures...
Dependency networks are a compelling alternative to Bayesian networks for learning joint probability distributions from data and using them to compute probabilities. A dependency ...