Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
The optimization of integrated spiral inductors has great practical importance. Previous optimization methods used in this field are either too slow or depend on very simplified a...
Abstract: We present a novel approach to the verification of functional-logic programs. For our verification purposes, equational reasoning is not valid due to the presence of non-...
The users of libraries of object-oriented software components face with both a terminological and a cognitive gap. Usually, library users do not understand the vocabulary used in t...
This paper proposes a novel approach to exploit the ontological relationship of visual words by linguistic reasoning. A visual word ontology is constructed to facilitate the rigor...