In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
A significant focus in the United States recently has been to increase engagement and interest in STEM curricula, particularly among girls and underrepresented minorities [3]. In ...
Gabriela Marcu, Samuel J. Kaufman, Jaihee Kate Lee...
NASA’s Earth Science Information Partnership Federation is an experiment funded to assess the ability of a group of widely heterogeneous earth science data or service providers ...
Catherine Plaisant, Anita Komlodi, Francis Lindsay
Parallel and distributed information processing systems play an increasingly important role in artificial intelligence and computer science. In this article an approach to learnin...
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...