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. Constraint Nets provide a semantic model for modeling hybrid dynamic systems. Controllers are embedded constraint solvers that solve constraints in real-time. A controlle...
The relation between autonomous and communication phases determines the throughput of parallel structured information processing systems. Such a relation depends on the algorithm w...
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
— Data mining in biological structure libraries can be a powerful tool to better understand biochemical processes. This article introduces the LISA algorithm which enables the re...