Abstract. We propose to use semi-supervised learning methods to classify evaluative expressions, that is, tuples of subjects, their attributes, and evaluative words, that indicate ...
The goal of our research is to develop industry-proof software architecture and design metrics. We identify a number of problems that arise in computing software architecture and ...
Johan Muskens, Michel R. V. Chaudron, Christian La...
Abstract. The frameworks for protecting security and privacy can be effective only if common users--with no training in computer science or logic--increase their awareness and cont...
Semi-supervised classification uses aspects of both unsupervised and supervised learning to improve upon the performance of traditional classification methods. Semi-supervised clu...
We describe a scheme to fragment and distribute centralized databases. ’ The problem is motivated by trends towards down-sizing and reorganization, reflecting actual, often dist...