This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...
In this paper an information theoretic approach is provided for resolving border ambiguity under partial occlusion. The proposed framework allows structural interpretation of imag...
The objective of this work is to interpret inductive results obtained by the unsupervised learning method OSHAM. We briefly introduce the learning process of OSHAM, that extracts ...
This paper presents a model for generating prosodically appropriate synthesized responses to database queries using Combinatory Categorial Grammar (CCG - cf. [22]), a formalism wh...
Abstract. We consider software systems consisting of a single component running one sequential process only. We model such software systems as a special class of transition systems...
Isaac Corro Ramos, Alessandro Di Bucchianico, Lusi...