In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Temporal analysis of events is a central problem in computational models of discourse. However, correctly recognizing temporal aspects of events poses serious challenges. This pap...
Eun Y. Ha, Alok Baikadi, Carlyle Licata, Bradford ...
As an important aspect of grid security, access control model gets more and more attention. Entities in virtual organizations (VOs) must establish a dynamic, secure and cooperative...
a growing need to study abstract problems in distributed multi-agent systems in a systematic way, as well as to provide a qualitative mathematical framework in which to compare po...
An unsupervised probabilistic learning framework for normalizing product records across different retailer Web sites is presented. Our framework decomposes the problem into two ta...