We consider a class of queueing networks referred to as “generalized constrained queueing networks” which form the basis of several different communication networks and inform...
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Cluster methods have been successfully applied in gene expression data analysis to address tumor classification. By grouping tissue samples into homogeneous subsets, more systema...
User interfaces for modern applications must support a rich set of interactive features. It is commonplace to find applications with dependencies between values manipulated by us...