The main aim of randomized search heuristics is to produce good approximations of optimal solutions within a small amount of time. In contrast to numerous experimental results, th...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann,...
Applications must scale well to make efficient use of even medium-scale parallel systems. Because scaling problems are often difficult to diagnose, there is a critical need for sc...
Nathan R. Tallent, John M. Mellor-Crummey, Michael...
Most existing RCL−1 circuit reductions stamp inverse inductance L−1 elements by a second-order nodal analysis (NA). The NA formulation uses nodal voltage variables and describ...
Discriminative training has been a leading factor for improving automatic speech recognition (ASR) performance over the last decade. The traditional discriminative training, howev...
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...