In this paper, we present two ensemble learning algorithms which make use of boostrapping and out-of-bag estimation in an attempt to inherit the robustness of bagging to overfitti...
Multiplysectioned Bayesian networks provide a probabilistic framework for reasoning about uncertain domains in cooperative multiagent systems. Several advances have been made in r...
Abstract. Message semantics are traditionally defined in terms of mental states, which is a trend that is criticized for assuming the sincerity and cooperativeness of agents. To c...
Roberto A. Flores, Philippe Pasquier, Brahim Chaib...
In this paper we study the size of generalised dominating sets in two graph processes which are widely used to model aspects of the world-wide web. On the one hand, we show that gr...
Abstract. Ant Colonies AC optimization take inspiration from the behavior of real ant colonies to solve optimization problems. This paper presents a parallel model for ant colonies...