Model-based Bayesian reinforcement learning has generated significant interest in the AI community as it provides an elegant solution to the optimal exploration-exploitation trade...
In evolving applications, there is a need for the dynamic selection of algorithms or algorithm parameters. Such selection is hardly ever governed by exact theory, so intelligent r...
In the design of highly complex, heterogeneous, and concurrent systems, deadlock detection and resolution remains an important issue. In this paper, we systematically analyze the ...
Xi Chen, Abhijit Davare, Harry Hsieh, Alberto L. S...
Abstract. Design of distributed architectures for content-based publish-subscribe (pub-sub) service networks has been a challenging problem. To best support the highly dynamic and ...
With the emergence of the Internet, collaborative computing has become more feasible than ever. Organizations can share valuable information among each other. However, certain user...