In distributed real-time systems, an application is often modeled as a set of real-time transactions, where each transaction is a chain of precedence-constrained tasks. Each task ...
In language modeling for speech recognition, both the amount of training data and the match to the target task impact the goodness of the model, with the trade-off usually favorin...
Marius A. Marin, Sergey Feldman, Mari Ostendorf, M...
Dynamic frequency scaling (DFS) techniques for real-time embedded systems have been widely studied. However, most of the scheduling algorithms so far concern only special purpose ...
This paper describes a framework to construct interface agents with example dialogs based on the tasks by the machine learning technology. The Wizard of Oz method is used to collec...
Abstract. We introduce a class of embedded-particle models for describing the emergent computational strategies observed in cellular automata (CAs) that were evolved for performing...
Wim Hordijk, James P. Crutchfield, Melanie Mitchel...