In this contribution a system is presented, which provides access to distributed data sources using Semantic Web technology. While it was primarily designed for data sharing and sc...
We consider the semi-supervised learning problem, where a decision rule is to be learned from labeled and unlabeled data. In this framework, we motivate minimum entropy regulariza...
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...
Abstract. To aid in building high-performance computational environments, INTERLACE offers a framework for linking reusable computational engines in a heterogeneous distributed sy...
This paper introduces an object-passing model for parallel and distributed application development. Object passing provides the object-oriented application developer with powerful...