Recent work in Ontology learning and Text mining has mainly focused on engineering methods to solve practical problem. In this thesis, we investigate methods that can substantially...
The correct behavior of a service composition depends on the appropriate coordination of its services. According to the idea of channelbased coordination, services exchange message...
— In recent years, learning models from data has become an increasingly interesting tool for robotics, as it allows straightforward and accurate model approximation. However, in ...
Innovative eCustoms solutions play an important role in the pan-European eGovernment strategy. The underlying premise is interoperability postulating a common understanding of pro...
Tobias Vogel, Alexander Schmidt, Alexander Lemm, H...
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
Kai Ni, John William Paisley, Lawrence Carin, Davi...