Transduction is an inference mechanism “from particular to particular”. Its application to classification tasks implies the use of both labeled (training) data and unlabeled (...
Computer scientists are often faced with the challenge of having to model the world and its associated uncertainties. One area in particular where modelling uncertainty is importa...
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
This report is an expanded version of a paper in AAAI-2006 proceedings. In this report, we investigate the challenges that must be addressed for the Semantic Web to become a feasi...
Secure outsourcing of computation to an untrusted (cloud) service provider is becoming more and more important. Pure cryptographic solutions based on fully homomorphic and verifia...
Ahmad-Reza Sadeghi, Thomas Schneider 0003, Marcel ...