Reinforcement Learning methods for controlling stochastic processes typically assume a small and discrete action space. While continuous action spaces are quite common in real-wor...
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
Abstract. Thickness measurements of the cerebral cortex can aid diagnosis and provide valuable information about the temporal evolution of several diseases such as Alzheimer’s, H...
Manuel Jorge Cardoso, Matthew J. Clarkson, Gerard ...
Climate simulation will not grow to the ultrascale without new algorithms to overcome the scalability barriers blocking existing implementations. Until recently, climate simulation...
R. K. Archibald, Katherine J. Evans, J. B. Drake, ...
Video transmission over a heterogeneous network suffers a condition that it has required to satisfy many different constraints because of the variety limitations of client equipme...