Abstract. With more cores integrated into one single chip, the overall power consumption from the multiple concurrent running programs increases dramatically in a CMP processor whi...
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
We describe a set of supervised machine learning experiments centering on the construction of statistical models of WH-questions. These models, which are built from shallow lingui...
This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive dis...
RNA pseudoknot prediction is an algorithm for RNA sequence search and alignment. An important building block towards pseudoknot prediction is RNA secondary structure prediction. T...