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,...
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
An appropriately designed interface to persistent, threaded conversations could reinforce socially beneficial behavior by prominently featuring how frequently and to what degree e...
Our group has recently developed a compact, universal protein binding microarray (PBM) that can be used to determine the binding preferences of transcription factors (TFs) [1]. Thi...
Anthony A. Philippakis, Aaron M. Qureshi, Michael ...
The console logs generated by an application contain messages that the application developers believed would be useful in debugging or monitoring the application. Despite the ubiq...
Wei Xu, Ling Huang, Armando Fox, David A. Patterso...