In this paper we describe the design of a tool supporting the integration of independently developed data warehouses, a problem that arises in several common scenarios. The basic f...
It is generally assumed in the traditional formulation of supervised learning that only the outputs data are uncertain. However, this assumption might be too strong for some learni...
Patrick Dallaire, Camille Besse, Brahim Chaib-draa
Tuning parallel code can be a time-consuming and difficult task. We present our approach to automate the performance analysis of OpenMP applications that is based on the notion of ...
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Abstract. There are many settings in which sensitive information is made available to a system or organisation for a specific purpose, on the understanding that it will be erased o...