This paper introduces Netgauge, an extensible open-source framework for implementing network benchmarks. The structure of Netstracts and explicitly separates communication patterns...
Torsten Hoefler, Torsten Mehlan, Andrew Lumsdaine,...
A method is described for estimating the illuminant spectra of an omnidirectional light distribution from the images of a camera aiming at a mirrored ball. First, we introduce an ...
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...
Prem Melville, Stewart M. Yang, Maytal Saar-Tsecha...
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...