Recording raw network traffic for long-term periods can be extremely beneficial for a multitude of monitoring and security applications. However, storing all traffic of high volume...
Many applications involve a set of prediction tasks that must be accomplished sequentially through user interaction. If the tasks are interdependent, the order in which they are p...
We present Confidence-based Feature Acquisition (CFA), a novel supervised learning method for acquiring missing feature values when there is missing data at both training and test...
Marie desJardins, James MacGlashan, Kiri L. Wagsta...
We propose an original automatic alignment of definitions taken from different dictionaries that could be associated to the same concept although they may have different labels. Th...
Laura Diosan, Alexandrina Rogozan, Jean-Pierre P&e...
Model programs represent transition systems that are used fy expected behavior of systems at a high level of abstraction. The main application area is application-level network pro...