—The increase in computational power of off-the-shelf hardware offers more and more advantageous tradeoffs among efficiency, cost and availability, thus enhancing the feasibil...
Giovanni Agosta, Alessandro Barenghi, Fabrizio De ...
To achieve the multi-agent systems’ goals, agents interact to exchange information, to cooperate and to coordinate their tasks. Interaction is generally recognized as an importa...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
While the information published in the form of XML-compliant documents keeps fast mounting up, efficient and effective query processing and optimization for XML have now become mor...