The ACTS FlowThru project aims to build a management system which supports the flow of management information across organisational and technological domains by reusing components ...
Patrick Hellemans, Cliff Redmond, Koen Daenen, Dav...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Abstract. OpenComRTOS is one of the few Real-Time Operating Systems (RTOS) for embedded systems that was developed using formal modeling techniques. The goal was to obtain a proven...
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
Generalized additive models (GAM) for modelling nonlinear effects of continuous covariates are now well established tools for the applied statistician. In this paper we develop Ba...