Current work in Simultaneous Multithreading provides little benefit to programs that aren't partitioned into threads. We propose Simultaneous Subordinate Microthreading (SSMT...
Robert S. Chappell, Jared Stark, Sangwook P. Kim, ...
We present a robust, automated oscillator macromodeling technique for extracting comprehensive phase and amplitude macromodels from oscillators' SPICE circuit descriptions. Th...
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
Online multiplicative weight-update learning algorithms, such as Winnow, have proven to behave remarkably for learning simple disjunctions with few relevant attributes. The aim of ...
We present a novel method for predicting inflected word forms for generating morphologically rich languages in machine translation. We utilize a rich set of syntactic and morphol...