Semi-supervised inductive learning concerns how to learn a decision rule from a data set containing both labeled and unlabeled data. Several boosting algorithms have been extended...
in an abstract Cartesian space of program versions characterized by dialect variables. An optimal solution to the problem is derived based on its translation to a restricted Intege...
We show in this paper how to evaluate the performance of skeleton-based high level parallel programs. Since many applications follow some commonly used algorithmic skeletons, we id...
Anne Benoit, Murray Cole, Stephen Gilmore, Jane Hi...
: Currently, many models are used to capture functional software requirements. However, the Software Engineering community has faded interaction requirements into the background, d...
A scheme that publishes aggregate information about sensitive data must resolve the trade-off between utility to information consumers and privacy of the database participants. D...