Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
This paper addresses the issue of how information visualization techniques can be used to assist full-text search in electronic documents. Our approach supports multiple term quer...
Stefan Schlechtweg, Petra Schulze-Wollgast, Heidru...
This paper presents a new model for controlling information flow in systems with mutual distrust and decentralized authority. The model allows users to share information with dis...
While similarity has gained in importance in research about information retrieval on the (geospatial) semantic Web, information retrieval paradigms and their integration into exist...
We present a method to compute, quickly and efficiently, the mutual information achieved by an IID (independent identically distributed) complex Gaussian input on a block Rayleigh-...