Abstract. Defeasible reasoning is a rule-based approach for efficient reasoning with incomplete and inconsistent information. Such reasoning is, among others, useful for ontology i...
Nick Bassiliades, Grigoris Antoniou, Ioannis P. Vl...
Classifiers are traditionally learned using sets of positive and negative training examples. However, often a classifier is required, but for training only an incomplete set of pos...
Traditionally, when one wants to learn about a particular topic, one reads a book or a survey paper. With the rapid expansion of the Web, learning in-depth knowledge about a topic...
— Many network applications are based on a group communications model where one party sends messages to a large number of authorized recipients and/or receives messages from mult...
Deploying Grid technologies by distributing an application over several machines has been widely used for scientific simulations, which have large requirements for computational r...