This paper addresses the multi-agent patrolling problem, which consists for a set of autonomous agents to visit all the places of an unknown environment as regularly as possible. T...
Particle filtering is an approach to Bayesian estimation of intractable posterior distributions from time series signals distributed by non-Gaussian noise. A couple of variant par...
Abstract. We build on the new security notion for deterministic encryption (PRIV) and the PRIV-secure schemes presented by Bellare et al at Crypto'07. Our work introduces: 1) ...
Yang Cui, Kirill Morozov, Kazukuni Kobara, Hideki ...
In this work we study the mining of top-K frequent closed itemsets, a recently proposed variant of the classical problem of mining frequent closed itemsets where the support thresh...
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...