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...
The notion of blacklisting communication sources has been a well-established defensive measure since the origins of the Internet community. In particular, the practice of compilin...
As storage deployments within enterprises continue to grow, there is an increasing need to simplify and automate. Existing tools for automation rely on extracting information in t...
Ensembles are often capable of greater prediction accuracy than any of their individual members. As a consequence of the diversity between individual base-learners, an ensemble wil...
Vladimir Nikulin, Geoffrey J. McLachlan, Shu-Kay N...
Background: With the advent of increasing sequence and structural data, a number of methods have been proposed to locate putative protein binding sites from protein surfaces. Ther...