The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
Recently, the Internet revolutionized many activities from entertainment to marketing and business. Two key underlying Internet technologies, efficient data delivery and hypertext...
Experience has shown that development using shared-memory concurrency, the prevalent parallel programming paradigm today, is hard and synchronization primitives nonintuitive becaus...
Based on the limitations raised by existing approaches in the context of the Semantic Web, we propose a formalism, Web Sources Global Ontology (WebSOGO), a data meta-model for the...
Star networks were proposedrecently as an attractive alternative to the well-known hypercube models for interconnection networks. Extensive research has been performed that shows ...