Abstract. In this paper we present a novel approach to big-step operational semantics. This approach stems from the observation that the typical type soundness property formulated ...
Feature selection is an important preprocessing step in pattern analysis and machine learning. The key issue in feature selection is to evaluate quality of candidate features. In t...
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
In this paper we study decidability of several extensions of P/T nets with name creation and/or replication. In particular, we study how to restrict the models of RN systems (P/T n...
This paper explores the use of Constraint Logic Programming (CLP) as a platform for experimenting with planning problems in the presence of multiple interacting agents. The paper ...
Agostino Dovier, Andrea Formisano, Enrico Pontelli
In this paper we present the IDUM system, a successful application of logic programming to e-tourism. IDUM exploits two technologies that are based on the state-of-the-art ASP syst...
Francesco Ricca, Antonella Dimasi, Giovanni Grasso...
In previous work we have proposed an extension to ASP (Answer Set Programming), called RASP, standing for ASP with Resources. RASP supports declarative reasoning on production and...
Stefania Costantini, Andrea Formisano, Davide Pett...
We provide an equational theory for Restricted Broadcast Process Theory to reason about ad hoc networks. We exploit an extended algebra called Computed Network Theory to axiomatize...
Abstract. Developing a good formalism and an efficient decision procedure for the instance checking problem is desirable for practical application of description logics. The data c...