In this paper we consider a stochastic model describing the varying number of flows in a network. This model features flows of two types, namely file transfers (with fixed volume)...
Abstract. The goal of Model Management is the development of new technologies and mechanisms to support the integration, evolution and matching of models. Such tasks are to be perf...
David Kensche, Christoph Quix, Mohamed Amine Chatt...
The evaluation of a standard Gaussian process regression model takes time linear in the number of training data points. In this paper, the models are approximated in the feature sp...
Modeling and simulation tools have been used for helping in the early stages of hardware/software systems design. The DEVS formalism is a technique that enables hierarchical descr...
We propose a new classification method for prediction of drug properties, called the Random Feature Subset Boosting for Linear Discriminant Analysis (LDA). The main novelty of this...