Reliability analysis has become an integral part of system design and operating. This is especially true for systems performing critical tasks such as mass transportation systems....
Roland Donat, Laurent Bouillaut, Patrice Aknin, Ph...
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
We propose a high-performance cascaded hybrid model for Chinese NER. Firstly, we use Boosting, a standard and theoretically wellfounded machine learning method to combine a set of...
Abstract. Social bookmarking has become an important web2.0 application recently, which is concerned with the dual user behavior to search - tagging. Although social bookmarking we...
We represent switching activity in VLSI circuits using a graphical probabilistic model based on Cascaded Bayesian Networks (CBN’s). We develop an elegant method for maintaining ...