Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfus...
In this paper we describe an analytical technique for the performance evaluation of wide-area networks carrying realistic TCP traffic, such as that produced by a large number of f...
A maximum-entropy approach to generative similarity-based classifiers model is proposed. First, a descriptive set of similarity statistics is assumed to be sufficient for classifi...
We consider multi-class blocking systems in which jobs require a single processing step. There are groups of servers that can each serve a different subset of all job classes. The...
An unpublished algorithm of Haldar and Vidyasankar implements an atomic variable of an arbitrary type T for one writer and one reader by means of 4 unsafe variables of type T , th...