We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
This paper is a continuation of the study of topological properties of omega context free languages (-CFL). We proved in [Topological Properties of Omega Context Free Languages, T...
Motivation Protein remote homology prediction and fold recognition are central problems in computational biology. Supervised learning algorithms based on support vector machines a...
Abstract. We discuss language architecture for the Semantic Web, and in particular different proposals for extending this architecture with a rules component. We argue that an arch...
Ian Horrocks, Bijan Parsia, Peter F. Patel-Schneid...
Background: Various measures of semantic similarity of terms in bio-ontologies such as the Gene Ontology (GO) have been used to compare gene products. Such measures of similarity ...
Brendan Sheehan, Aaron J. Quigley, Benoit Gaudin, ...