In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
In order to the software and web measurement field becomes a more robust engineering discipline it is mandatory to start reaching a common agreement between researchers and other s...
This paper proposes a new method to generate smooth camera movement that is collision-free in a three-dimensional virtual environment. It generates a set of cells based on cell de...
Abstract. Lexical variance in biomedical texts poses a challenge to automatic protein relation mining. We therefore propose a new approach that relies only on more general language...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
We present in this paper an interactive method for numeric or symbolic data visualization that allows a domain expert to extract useful knowledge and information. We propose a new ...