In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
ct We describe work on the visualization of bibliographic data and, to aid in this task, the application of numerical techniques for multidimensional scaling. Many areas of scienti...
We investigate the problem of how to evaluate, fast and efficiently, classes of optimal route queries on a massive graph in a unified framework. To evaluate a route query effectiv...
In this work, we propose a new platform to enable service providers, such as web site operators, on the Internet to block past abusive users of anonymizing networks (for example, T...
Abstract. Automated language identification of written text is a wellestablished research domain that has received considerable attention in the past. By now, efficient and effecti...