Some safety-critical distributed embedded systems may need to use centralized components to achieve certain dependability properties. The difficulty in combining centralized and d...
This paper describes an approach for using several levels of data fusion in the domain of autonomous off-road navigation. We are focusing on outdoor obstacle detection, and we pre...
Factored Reinforcement Learning (frl) is a new technique to solve Factored Markov Decision Problems (fmdps) when the structure of the problem is not known in advance. Like Anticipa...
Olivier Sigaud, Martin V. Butz, Olga Kozlova, Chri...
The goal of the Semantic Web is to support semantic interoperability between applications exchanging data on the web. The idea heavily relies on data being made available in machi...
Deep web search requires a transformation between search keywords and semantically described and well-formed data structures. We approached this problem in our "In the Web of ...