This paper presents an in-depth study of the theory and algorithms for the SPFD-based (Set of Pairs of Functions to be Distinguished) rewiring, and explores the flexibility in the...
This paper proposes a framework for agent-based distributed machine learning and data mining based on (i) the exchange of meta-level descriptions of individual learning processes ...
Abstract. In this paper, we present and analyze a framework for selfevolving autonomic services in a wireless nomadic environment. We present a disconnected network architecture, w...
Iacopo Carreras, Francesco De Pellegrini, Daniele ...
Data stream clustering has emerged as a challenging and interesting problem over the past few years. Due to the evolving nature, and one-pass restriction imposed by the data strea...
Abstract. We revisit the classical notion of noninterference for statebased systems, as presented by Rushby in 1992. We strengthen his results in several ways, in particular clarif...