Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
ct 9 Words mean different things to different people, and so are uncertain. We, therefore, need a fuzzy set model for a word 10 that has the potential to capture their uncertaint...
Traditionally, database management systems (DBMSs) have been associated with high-cost, high-quality functionalities. That is, powerful capabilities are provided, but only in respo...
Designing thermal management policies for today's power-dense server clusters is currently a challenge, since it is difficult to predict the exact temperature and performance...