Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
In this paper we describe an analytical technique for the performance evaluation of wide-area networks carrying realistic TCP traffic, such as that produced by a large number of f...
Abstract. Precise indoor localization is quickly becoming a reality, but application demonstrations to date have been limited to use of only a single piece of location information ...
This paper is the first part of a two-part paper that documents a detailed survey of the research carried out on consistency and latency in distributed interactive applications (D...
In this work we try to draw an interdisciplinary framework aimed to integrate a socio-cognitive approach with organizational research about industrial clusters, in order to invest...
Francesca Giardini, Gennaro di Tosto, Rosaria Cont...