Given a dataset, each element of which labeled by one of k labels, we construct by a very fast algorithm, a k-category proximal support vector machine (PSVM) classifier. Proximal s...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Often, independent organizations define and advocate different XML formats for a similar purpose and, as a result, application programs need to mutually convert between such forma...
— Distributed Hash Table (DHT) based algorithms have been proposed to solve the routing issues in large-scale Peer-to-Peer (P2P) applications. DHT systems create an elegant Peer-...
Abstract. Ontologies are now used within an increasing number of realworld applications. So far, significant effort has been spend in building tools to support users in creating,...