A new approach for faithful relevance rating of attributes is proposed, enabling class-specific discriminatory data space transformations. The method is based on the adaptation of ...
Marc Strickert, Frank-Michael Schleif, Thomas Vill...
This paper presents a novel framework for simultaneously learning representation and control in continuous Markov decision processes. Our approach builds on the framework of proto...
Self-organised maps (SOM) have been widely used for cluster analysis and visualisation purposes in exploratory data mining. In image retrieval applications, SOMs have been used to...
We propose a technique to make consistency detection scalable for large Aboxes in secondary storage. We use static analysis of knowledge representation with summarization techniqu...
This paper introduces latency mapping as a technique for visualising surveillance coverage. Built on a concept for modelling the total effort by a surveillance force, latency mapp...