This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in battery-powered ...
Adam Silberstein, Carla Schlatter Ellis, Jun Yang ...
String pattern matching is a computationally expensive task, and when implemented in hardware, it can consume a large amount of resources for processing and storage. This paper pr...
The difficulties of navigating vocabulary in an assistive communication device are exacerbated for individuals with lexical access disorders like those due to aphasia. We present ...
Sonya S. Nikolova, Jordan L. Boyd-Graber, Christia...
We present an initial report on using our distributed, collaborative grid enabled visualization environment to link SuperComputing 2004 (Pittsburgh, PA, USA) with the Cardiff Scho...