In this paper, the authors analyse how educational institutions behave in relation with the contents available through the Web. They also reflect on the features of the currently...
A number of new local and parallel discretization and adaptive finite element algorithms are proposed and analyzed in this paper for elliptic boundary value problems. These algorit...
Support Vector Machines (SVMs) and related kernel methods have become increasingly popular tools for data mining tasks such as classification, regression, and novelty detection. T...
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
As a baseline for software development, a correct and complete requirements definition is one foundation of software quality. Previously, a novel approach to static testing of sof...