Abstract. Many learning methods ignore domain knowledge in synthesis of concept approximation. We propose to use hierarchical schemes for learning approximations of complex concept...
Jan G. Bazan, Sinh Hoa Nguyen, Hung Son Nguyen, An...
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Abstract. In this paper we define a class of truth-value assignments, called bounded assignments, using a certain substitutional property. We show that every satisfiable Boolean ...
Abstract - A comprehensive study of ultra high-speed currentmode logic (CML) buffers and regenerative CML latches will be illustrated. A new design procedure to systematically desi...
Abstract. This paper aims at defining the semantics of Agent Communication Languages (ACLs) in terms of changes in the social relationships between agents, represented in terms of...
Marco Colombetti, Nicoletta Fornara, Mario Verdicc...