Industry is looking to create a market in reliable "plug-and-play" components. To model components in a modular style it would be useful to combine event-based and state...
We introduce a variational inference framework for training the Gaussian process latent variable model and thus performing Bayesian nonlinear dimensionality reduction. This method...
—It is essential to process real-time data service requests such as stock quotes and trade transactions in a timely manner using fresh data, which represent the current real worl...
We present a sparse approximation approach for dependent output Gaussian processes (GP). Employing a latent function framework, we apply the convolution process formalism to estab...
We propose a technique for the automated synthesis of new comeb services. Given a set of abstract BPEL4WS descriptions of component services, and a composition requirement, we aut...
Marco Pistore, Paolo Traverso, Piergiorgio Bertoli...