Markov decision processes are an effective tool in modeling decision-making in uncertain dynamic environments. Since the parameters of these models are typically estimated from da...
In this paper, we adopt general-sum stochastic games as a framework for multiagent reinforcement learning. Our work extends previous work by Littman on zero-sum stochastic games t...
This paper introduces a novel method for composing Web services in the presence of external volatile information. Our approach, which we call the informed-presumptive, is compared...
A novel approach to the automatic classiJcation of remote sensed images is proposed. This approach is based on a three-phase procedure: first pixels which belong to the areas of i...
Giovanni Gallo, Giorgio Grasso, Salvatore Nicotra,...
Microfluidics-based biochips offer a promising platform for massively parallel DNA analysis, automated drug discovery, and real-time biomolecular recognition. Current techniques f...