We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Knowledge scouts are software agents that autonomously synthesize knowledge of interest to a given user (target knowledge) by applying inductive database operators to a local or di...
Abstract. This paper presents the performance evaluation of five memory allocation strategies for the PerDiS Persistent Distributed Object store in the context of allocating two di...
This paper presents a formal approach to test combinational circuits. For the sake of explanation we describe the basic algorithms with the help of the stuck–at fault model. Ple...
Manfred Henftling, Hannes C. Wittmann, Kurt Antrei...
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...