Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
Abstract. The modeling, design, and implementation of inter-organizational systems (IOS) is a challenging new problem. In contrast to previous systems, where components have clearl...
We introduce a class of nonstationary covariance functions for Gaussian process (GP) regression. Nonstationary covariance functions allow the model to adapt to functions whose smo...
: Heterogeneous and proprietary interchange formats pose a major problem for business process management. This applies in particular to processes that have been modelled as Event-D...