This paper presents a novel instruction encoding generation technique for use in architecture exploration for application specific processors. The underlying exploration methodolo...
Achim Nohl, Volker Greive, Gunnar Braun, Andreas H...
We develop a method for predicting query performance by computing the relative entropy between a query language model and the corresponding collection language model. The resultin...
Abstract. This paper presents a unified approach to test case generation and conformance test execution in a distributed setting. A model in the object-oriented, concurrent modelin...
Bernhard K. Aichernig, Andreas Griesmayer, Einar B...
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
This work discusses the effectiveness of desktop virtual reality as a metaphor for navigating through information in structured Web sites. The work is based on a model for informa...