We study a selected group of hybrid EAs for solving CSPs, consisting of the best performing EAs from the literature. We investigate the contribution of the evolutionary component t...
Abstract. Many supervised and unsupervised learning algorithms depend on the choice of an appropriate distance metric. While metric learning for supervised learning tasks has a lon...
Abstract. Ontology-based modelling is becoming increasingly important in the design of complex knowledge management applications. However, many problems related to large-scale onto...
Paolo Ceravolo, Angelo Corallo, Gianluca Elia, Ant...
ÐWe describe a new direct method for estimating structure and motion from image intensities of multiple views. We extend the direct methods of Horn and Weldon [18] to three views....
Networks of communicating finite-state machines equipped with local clocks generate timed MSCs. We consider the problem of checking whether these timed MSCs are "consistent&qu...