Performance of n-gram language models depends to a large extent on the amount of training text material available for building the models and the degree to which this text matches...
Many current state-of-the-art planners rely on forward heuristic search. The success of such search typically depends on heuristic distance-to-the-goal estimates derived from the ...
We propose a new approach for learning Bayesian classifiers from data. Although it relies on traditional Bayesian network (BN) learning algorithms, the effectiveness of our approa...
ct Increasingly, model checking is being applied to more abstract problem domains than the traditional protocol analysis. The extent to which such an approach is able to provide us...
We consider the electromagnetic detection of hidden moving or oscillating conductive targets. The resulting mathematical problem involves computation of a Doppler shift for an ele...