Many current medical image analysis problems involve learning thousands or even millions of model parameters from extremely few samples. Employing sparse models provides an effecti...
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
This paper is structured as follows. Section 2 gives an architectural description of BlueGene/L. Section 3 analyzes the issue of “computational noise” – the effect that the o...
Kei Davis, Adolfy Hoisie, Greg Johnson, Darren J. ...
Advances in SAT solver technology have enabled many automated analysis and reasoning tools to reduce their input problem to a SAT problem, and then to use an efficient SAT solver ...
In this tutorial we present techniques for building valid and credible simulation models. Ideas to be discussed include the importance of a definitive problem formulation, discuss...