Nowadays, data mining is based on low-level speci cations of the employed techniques typically bounded to a speci c analysis platform. Therefore, data mining lacks a modelling arc...
Abstract. We present a Bayesian translational model for matching patterns in data sets which have neither co-occurring samples nor variables, but only a similar experiment design d...
Tommi Suvitaival, Ilkka Huopaniemi, Matej Oresic, ...
In this article, we present our efforts1 on realizing transformation independence in open, extensible, and highly distributed multimedia information The main focus is on the abstra...
Abstract: Currently, there are strong efforts to integrate spatial and temporal database technology into spatio-temporal database systems. This paper views the topic from a rather ...
Martin Erwig, Markus Schneider, Ralf Hartmut G&uum...
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...