We consider Bayesian analysis of data from multivariate linear regression models whose errors have a distribution that is a scale mixture of normals. Such models are used to analy...
Abstract—We consider non-asymmetric distributed source coding (DSC) that achieves any point in the Slepian-Wolf (SW) region. We study the error propagation phenomena and propose ...
We consider semi-supervised classification when part of the available data is unlabeled. These unlabeled data can be useful for the classification problem when we make an assumpti...
We try to assess to what extent declarative programming can be realized in Prolog and which aspects of correctness of Prolog programs can be dealt with by means of declarative int...
Abstract. Operating-systems are the core software component of many modern computer systems, ranging from small specialised embedded systems through to large distributed operating-...