We present metric?? , a provably near-optimal algorithm for reinforcement learning in Markov decision processes in which there is a natural metric on the state space that allows t...
We present an extensible and customizable framework for the autonomous discovery of Semantic Web services based on their QoS properties. Using semantic technologies, users can spe...
Le-Hung Vu, Fabio Porto, Karl Aberer, Manfred Haus...
The mainstream adoption of cluster, grid, and most recently cloud computing models have broadened the applicability of parallel programming from scientific communities to
the bus...
We describe a tool, called AX, that can be used in combination with the model checker SPIN to efficiently verify logical properties of distributed software systems implemented in A...
As part of the DARPA Deep Green efforts, SAIC developed a multi-threaded and resolution approach to constructing and evaluating simulated futures to address the SimPath component....
David R. Pratt, Robert W. Franceschini, Robert B. ...