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. ...
Academic literature has documented for a long time the existence of important price gains in the first trading day of initial public offerings (IPOs). Most of the empirical analys...
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...