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Advances in radiation therapy for malignant neoplasms have produced techniquessuch as Gamma Knife radiosurgery, capable of delivering an ablative dose to a specific, irregular volume of tissue. However, efficient use of these techniques requires the identification of a target volume that will produc ...

Variational methods have been previously explored as a tractable approximation to Bayesian inference for neural networks. However the approaches proposed so far have only been applicable to a few simple network architectures. This paper introduces an easy-to-implement stochastic variational method ( ...

As semantic web based applications are gaining popularity, very large RDF documents are becoming common. SPARQL is the de-facto standard in querying RDF data and research on efficient implementations of SPARQL interfaces for very large RDF graphs has attracted a great deal of interest in the recent ...