Practical data mining rarely falls exactly into the supervised learning scenario. Rather, the growing amount of unlabeled data poses a big challenge to large-scale semi-supervised...
The paper describes results of an empirical study, where some hypotheses about the impact of reuse on defect-density and stability, and about the impact of component size on defec...
Parastoo Mohagheghi, Reidar Conradi, Ole M. Killi,...
In active learning, one attempts to maximize classifier performance for a given number of labeled training points by allowing the active learning algorithm to choose which points...
We consider the problem of releasing a limited public view of a sensitive graph which reveals at least k edges per node. We are motivated by Facebook’s public search listings, w...
Lighting is a fundamental and important process in the 3D animation pipeline. Conventional lighting workflow is time-consuming and labor-intensive. A user must fiddle with a rang...