We study the learnability of sets in Rn under the Gaussian distribution, taking Gaussian surface area as the “complexity measure” of the sets being learned. Let CS denote the ...
Adam R. Klivans, Ryan O'Donnell, Rocco A. Servedio
high-level programming abstractions, capable of simplifying the programming chore without sacrificing efficiency, has been long recognized and several solutions have been hitherto...
The advent of novel materials (such as conductive fibers) combined with accessible embedded computing platforms have made it possible to re-imagine the landscapes of fabric and el...
Leah Buechley, Michael Eisenberg, Jaime Catchen, A...
This paper considers the elements and challenges of heterogeneous data management and interdisciplinary collaboration, drawing from the literatures on participatory design, comput...
Karen S. Baker, Steven J. Jackson, Jerome R. Wanet...
This article presents a rational model developed under the distributed cognition framework that explains how social tags influence knowledge acquisition and adaptation in explorat...