Adversarial Training for EM Classification Networks

no code implementations • 20 Nov 2020 • Tom Grimes, Eric Church, William Pitts, Lynn Wood, Eva Brayfindley, Luke Erikson, Mark Greaves

For this example, the effect of the robust and domain adversarial training is to remove features indicative of the difference in background between instances of operation of the device - providing highly discriminative features on which to construct the classifier.

Classification General Classification +1

Machine Learning Algorithms for Active Monitoring of High Performance Computing as a Service (HPCaaS) Cloud Environments

no code implementations • 26 Sep 2020 • Gianluca Longoni, Ryan LaMothe, Jeremy Teuton, Mark Greaves, Nicole Nichols, William Smith

This paper explores the viability identifying types of engineering applications running on a cloud infrastructure configured as an HPC platform using privacy preserving features as input to statistical models.

BIG-bench Machine Learning Cloud Computing +2