Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
Several new Complex Event Processing (CEP) engines have been recently released, many of which are intended to be used in performance sensitive scenarios - like fraud detection, tr...
Marcelo R. N. Mendes, Pedro Bizarro, Paulo Marques
Query-independent features (also called document priors), such as the number of incoming links to a document, its Page-Rank, or the type of its associated URL, have been successfu...
The Satellite Data Model (SDM) is part of the Air Force Research Laboratory (AFRL) Responsive Space Testbed Initiative. It is a developing standard for rapid integration of hardwa...
Kenneth Sundberg, Scott Cannon, Todd Hospodarsky, ...
The probabilistic network technology is a knowledgebased technique which focuses on reasoning under uncertainty. Because of its well defined semantics and solid theoretical founda...