The agent paradigm can be seen as an extension of the notion of (active) objects by concepts like autonomy and cooperation. Mainstream object-oriented modeling techniques do not a...
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...
We develop an algebraic multigrid (AMG) setup scheme based on the bootstrap framework for multiscale scientific computation. Our approach uses a weighted least squares definition...
Achi Brandt, James J. Brannick, K. Kahl, Irene Liv...