Abstract--Driven by the need to provision resources on demand, scientists are turning to commercial and research test-bed Cloud computing resources to run their scientific experime...
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
— Web service models are increasingly being used in the Grid community as way to create distributed applications exposing data and/or applications through self describing interfa...
Kyle Chard, Wei Tan, Joshua Boverhof, Ravi K. Madd...
— A numerical simulation of the magnetic field in the imaging volume of a magnetic resonance imaging (MRI) scanner and a method for quick searches for electromagnetic noise sour...
Recent applications for distributed mobile devices, including multimedia video/audio streaming, typically process streams of incoming data in a regular, predictable way. The behav...