This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract. We present a technique and a tool for model-checking operational UML models based on a mapping of object oriented UML models into a framework of communicating extended ti...
The implementation of software systems with large numbers of heterogeneous components calls for a powerful design methodology. Although several such methodologies have been propos...
Abstract: We outline an object-oriented extension to Camelot, a functional language in the ML family designed for resource aware computation. Camelot is compiled for the Java Virtu...
Abstract. This paper presents a machine-learning approach to the interactive classification of suspected liver metastases in fMRI images. The method uses fMRI-based statistical mod...