The increasing complexity of modern Information Services (IS) makes necessary to carry on review activities. For many companies, these reviews take place within the framework of t...
Jacques Simonin, Yves Le Traon, Jean-Marc Jé...
In this paper we describe a distributed architecture consisting of a combination of scripting tools that interact with each other in order to help to find and query decentralized ...
Uldis Bojars, Alexandre Passant, Frederick Giasson...
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
Jyh-Ying Peng, John A. D. Aston, R. N. Gunn, Cheng...
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...