The number of processors embedded in high performance computing platforms is growing daily to solve larger and more complex problems. However, as the number of components increases...
Research over the past several decades in learning logical and probabilistic models has greatly increased the range of phenomena that machine learning can address. Recent work has ...
This paper presents a backward sharing analysis for logic programs. The analysis computes pre-conditions for a query that guarantee a given post-condition is satisfied after the q...
The perception-based theory of probabilistic reasoning which is outlined in this paper is not in the traditional spirit. Its principal aim is to lay the groundwork for a radical e...
We present a logic programming based dialogue system that enables the access in natural language to the heterogeneous external relational databases of the Évora University. The p...
Salvador Abreu, Paulo Quaresma, Luis Quintano, Ire...