We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
This paper develops a formal model of process migration that describes programs, processes, and the migration of those processes within a migration realm. A migration realm is a g...
Aric D. Blumer, Henning S. Mortveit, Cameron D. Pa...
Abstract. In this paper, we investigate the properties of commonly used prepruning heuristics for rule learning by visualizing them in PN-space. PN-space is a variant of ROC-space,...
Feature selection is very important for many computer vision applications. However, it is hard to find a good measure for the comparison. In this study, feature sets are compared ...
Motivated by the need of application-level access control in dynamically extensible systems, this work proposes a static annotation system for modeling capabilies in a Java-like pr...