When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
-- The MapReduce programming model, introduced by Google, has become popular over the past few years as a mechanism for processing large amounts of data, using sharednothing parall...
Sriram Krishnan, Chaitanya K. Baru, Christopher J....
The potential for physical flora collections to support scientific research is being enhanced by rapid development of digital databases that represent characteristics of the physic...
Tom Auer, Alan M. MacEachren, Craig McCabe, Scott ...
Abstract. This paper proposes a method for performing predictive simulation of cardiac surgery. It applies a hybrid approach to model the deformation of blood vessels. The hybrid b...
A Data Warehouse DW can be abstractly seen as a set of materialized views de ned over a set of remote data sources. A DW is intended to satisfy a set of queries. The views materi...