We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
High reynolds number ow simulations exhibit strong gradients normal to walls and across shear layers requiring much ner resolution of the solution in some directions compared to o...
By strictly separating reconfigurable logic from their host processor, current custom computing systems suffer from a significant communication bottleneck. In this paper we descri...
Scott Hauck, Thomas W. Fry, Matthew M. Hosler, Jef...
We present a novel method for state minimization of incompletely-specified finite state machines. Where classic methods simply minimize the number of states, ours directly addre...
The large number of programming languages in the world is a consequence of the broad spectrum of human preferences for different notational styles and semantic models, which depen...