Compressive Sensing (CS) combines sampling and compression into a single subNyquist linear measurement process for sparse and compressible signals. In this paper, we extend the th...
Volkan Cevher, Marco F. Duarte, Chinmay Hegde, Ric...
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 ...
System theory propagates the use of models which e level of abstraction to cope with complexity, evolving out of variety and connectivity. Different modeling techniques have been ...
Konrad Pfadenhauer, Burkhard Kittl, Schahram Dustd...
Abstract. In the last few years, the semantics of Petri nets has been investigated in several different ways. Apart from the classical "token game", one can model the beh...
—People make and use tools. Many information technology tools, applying computer science research, powerfully influence human behaviour. Some questions about human behaviour can ...