Abstract— The paper presents an efficient construction algorithm for obtaining sparse kernel density estimates based on a regression approach that directly optimizes model gener...
Abstract. A simulation-based tool is described which will be used to investigate how the actors in a transport chain are expected to act when different types of governmental contro...
Markus Bergkvist, Paul Davidsson, Jan A. Persson, ...
Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Abstract. Although Constraint Programming (CP) is considered a useful tool for tackling combinatorial problems, its lack of flexibility when dealing with uncertainties and prefere...
Alberto Delgado, Carlos Alberto Olarte, Jorge Andr...
Abstract. To date, ontology research seems to have come to an equilibrium: there is a wide variety of theories, methods and tools for extracting, representing, storing and browsing...