Modern servers access large volumes of data while running commercial workloads. The data is typically spread among several storage devices (e.g. disks). Carefully placing the data...
Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
Planning in partially-observable dynamical systems (such as POMDPs and PSRs) is a computationally challenging task. Popular approximation techniques that have proved successful ar...
Michael R. James, Michael E. Samples, Dmitri A. Do...
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Selectivity estimation of queries not only provides useful information to the query processing optimization but also may give users a preview of processing results. In this paper,...