Textual entailment recognition plays a fundamental role in tasks that require indepth natural language understanding. In order to use entailment recognition technologies for real-...
We consider the problem of performing learning and inference in a large scale knowledge base containing imperfect knowledge with incomplete coverage. We show that a soft inference...
Owing to the ever growing complexity of present day computer vision systems, system architecture has become an emerging topic in vision research. Systems that integrate numerous m...
Christian Bauckhage, Gerhard Sagerer, Markus Vincz...
— We investigate the validity of reducing router buffer size in a large-scale network that includes both core networks and edge networks. We first devise a novel mathematical an...
The goal of this paper is to identify and discuss scalability issues for the measurement-based analysis of the availability in large-scale networks using IP multicast technology. ...