The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Abstract—There already exist some links between argumentation and game theory. For instance, dynamic games can be used for simulating interactions between agents in an argumentat...
In this paper, we present a novel framework for machine learning-based cross-media knowledge extraction. The framework is specifically designed to handle documents composed of th...
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
This paper studies an evolutionary multiobjective optimization algorithm, called EVOLT, which heuristically optimizes QoS (quality of service) in communication networks for electr...