Abstract. Ensemble learning is a powerful learning approach that combines multiple classifiers to improve prediction accuracy. An important decision while using an ensemble of cla...
systems are commonly abstracted as collections of interacting components. This perspective has lead to the insight that component behaviors can be defined separately from admissi...
Abstract. We propose an access control scheme for developing authorization rules for XML documents, allowing flexible data granularity and authorization propagation. To simplify t...
Abstract. Experiments are described which use genetic algorithms operating on the parameter settings of an FM synthesizer, with the aim of mimicking known synthesized sounds. The w...
James McDermott, Niall J. L. Griffith, Michael O'N...
Abstract. An extension of the λ-calculus is proposed, to study historybased access control. It allows for security policies with a possibly nested, local scope. We define a type ...
Massimo Bartoletti, Pierpaolo Degano, Gian Luigi F...