We propose a fully Bayesian methodology for generalized kernel mixed models (GKMMs), which are extensions of generalized linear mixed models in the feature space induced by a repr...
In 2007 we introduced a general model of sparse random graphs with independence between the edges. The aim of this paper is to present an extension of this model in which the edge...
Abstract—Electric power transmission systems are a key infrastructure, and blackouts of these systems have major consequences for the economy and national security. Analyses of b...
David E. Newman, Benjamin A. Carreras, Vickie E. L...
Integrated process support is highly desirable in environments where data related to a particular business process are scattered over distributed, heterogeneous information system...
Manfred Reichert, Sarita Bassil, Ralph Bobrik, Tho...
In this paper we propose a signal-to-interference (SIR)-based distributed Call Admission Control (CAC) strategy that considers the combined effect of both call and packet level qu...
Tanzilah Noor Shabnam, Md. Imdadul Islam, M. R. Am...