In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called "overloaded" multiple-antenna-aided communi...
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Laj...
Machine learning methods are often used to classify objects described by hundreds of attributes; in many applications of this kind a great fraction of attributes may be totally irr...
Miron B. Kursa, Aleksander Jankowski, Witold R. Ru...
Increasing functionality, growing media volumes and dynamic data in today's in-vehicle information systems bear new challenges for user interaction design. Traditional hierar...
Stefan Graf, Wolfgang Spiessl, Albrecht Schmidt, A...
Structured P2P systems have been developed for constructing applications at internet scale in cooperative environments and exhibit a number of desirable features such as scalabili...
In this paper we describe a method to perform type inference over data stored in an RDBMS, where rules over the data are specified using OWLDL. Since OWL-DL is an implementation of...