In recent years, several frameworks have been developed for processing very large quantities of data on large clusters of commodity PCs. These frameworks have focused on fault-tole...
In this paper we present a framework for constructing problem solving environments for assessing procedural knowledge, i.e. the student’s ability to apply his/her knowledge in o...
We consider feature selection in the semi-supervised learning setting. This problem is rarely addressed in the literature. We propose a new algorithm as a natural extension of the...
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
Douglas Moore, John Stevens, Scott Lundberg, Bruce...
We study recent developments in quantum computing (QC) testing and fault tolerance (FT) techniques and discuss several attempts to formalize quantum logic fault models. We illustr...
David Y. Feinstein, V. S. S. Nair, Mitchell A. Tho...