— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...
Abstract. We present a clustering method for continuous data. It defines local clusters into the (primary) data space but derives its similarity measure from the posterior distribu...
In this work we propose three unsupervised measures to automatically identify the number of distinct entities a given ambiguous name refers to in a corpus. We experiment with 22 a...
The purpose of this note is to sharpen the results in Bouyssou and Pirlot (2005) giving an axiomatic characterization of concordance relations. We show how the conditions used in ...
Faster defect localization is achieved by combining IC simulations and internal measurements. Time resolved photon emission records photons emitted during commutations (current) r...
Romain Desplats, Felix Beaudoin, Philippe Perdu, N...