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...
This paper explores the challenges associated with distributed application management in large-scale computing environments. In particular, we investigate several techniques for e...
Nikolay Topilski, Jeannie R. Albrecht, Amin Vahdat
— Fuzzy Cognitive Maps (FCMs) are a class of discrete-time Artificial Neural Networks that are used to model dynamic systems. A recently introduced supervised learning method, wh...
This paper describes two systems to recover the Internet connectivity impaired by private networks and firewalls. These devices cause asymmetry in the Internet, making peer-to-pee...
All-to-all broadcast is one of the common collective operations that involve dense communication between all processes in a parallel program. Previously, programmable Network Inte...