This paper addresses long term tracking of multiple objects with occlusions. Bayesian networks are used to model the interaction among the detected tracks and for conflict managem...
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Cancer is a complex disease in which a variety of phenomena interact over a wide range of spatial and temporal scales. In this article a theoretical framework will be introduced t...
Helen M. Byrne, Markus R. Owen, Tomas Alarcó...
The use of semantic web languages brings a number of advantages for web engineering methodologies. In this paper we present how in the Hera methodology the design models benefit f...
Peter Barna, Geert-Jan Houben, Flavius Frasincar, ...