Missing data is a widespread problem that can affect the ability to use data to construct effective prediction systems. We investigate a common machine learning technique that can...
Qinbao Song, Martin J. Shepperd, Xiangru Chen, Jun...
ese two applications are built upon the abstraction provided by the Context Service and thus help validate the design of this service. The first application, a Notification Dispatc...
Hui Lei, Daby M. Sow, John S. Davis II, Guruduth B...
Previous research indicates that the human decision-making process is somewhat nonlinear and that nonlinear models would be more suitable than linear models for developing advance...
We propose a domain specific model for statistical machine translation. It is wellknown that domain specific language models perform well in automatic speech recognition. We show ...