The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
Abstract. CAN is a famous structured peer-to-peer network based on ddimensional torus topology with constant degree and logarithmical diameter, but suffers from poor scalability wh...
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Identifying small groups of lines, whose removal would cause a severe blackout, is critical for the secure operation of the electric power grid. We show how power grid vulnerabilit...
Ali Pinar, Juan Meza, Vaibhav Donde, Bernard C. Le...
Numerous studies have shown that datacenter computers rarely operate at full utilization, leading to a number of proposals for creating servers that are energy proportional with r...
Dennis Abts, Michael R. Marty, Philip M. Wells, Pe...