When software products are assembled from pre-defined components, performance prediction should be based on the components also. This supports rapid model-building, using previous...
Maximum entropy analysis of binary variables provides an elegant way for studying the role of pairwise correlations in neural populations. Unfortunately, these approaches suffer f...
The authors describe on going research to uncover the architectonic nature of artefacts and see how these may be related to high-level, but also grounded, model of the original pr...
In the context of binary classification, we define disagreement as a measure of how often two independently-trained models differ in their classification of unlabeled data. We exp...
—In this paper, we study the distributed spectrum allocation for autonomous users transmitting delay-sensitive information over a wireless multi-carrier network. Because there is...