Performance modeling for scientific applications is important for assessing potential application performance and systems procurement in high-performance computing (HPC). Recent ...
This paper proposes an extension to the XQuery language to solve the problem of positional grouping: that is, problems in which it is necessary to convert a flat sequence into a h...
Key-value stores (KVSs) are the most prevalent storage systems for large scale web services. As they do not have the structural complexities of RDBMSs, they are more efficient. In...
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
We present a new family of subgradient methods that dynamically incorporate knowledge of the geometry of the data observed in earlier iterations to perform more informative gradie...