We present context-sensitive Multiple Task Learning, or csMTL as a method of inductive transfer. It uses additional contextual inputs along with other input features when learning ...
We propose a computational model that facilitates agents in a MAS to collaboratively evolve their norms to reach the best norm conventions. Our approach borrows from the social con...
In this paper, three approaches are presented for generating and validating sequences of different size neural nets. First, a growing method is given along with several weight ini...
Pramod Lakshmi Narasimha, Walter Delashmit, Michae...
An ever-present problem in intrusion detection technology is how to construct the patterns of (good, bad or anomalous) behaviour upon which an engine have to make decisions regardi...
In this paper we consider practical dissemination algorithms exploiting network coding for data broadcasting in ad hoc wireless networks. For an efcient design, we analyze issues r...
Alfred Asterjadhi, Elena Fasolo, Michele Rossi, J&...