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...
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
The Monte Carlo (MC) method is a simple but effective way to perform simulations involving complicated or multivariate functions. The QuasiMonte Carlo (QMC) method is similar but...
BOINC, a middleware system for volunteer computing, involves projects, which distribute jobs, and hosts, which execute jobs. The local (host-level) scheduler addresses two issues:...
Cooperative Rooms (COR) is an interdisciplinary research and development program of GMD in collaboration with partners. Its objective is to design, develop and investigate future ...
Rolf Reinema, Knut A. Bahr, H.-J. Burkhardt, Marie...