We consider a fundamental problem in computational learning theory: learning an arbitrary Boolean function which depends on an unknown set of k out of n Boolean variables. We give...
Elchanan Mossel, Ryan O'Donnell, Rocco A. Servedio
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
We consider an architecture for a serverless distributed file system that does not assume mutual trust among the client computers. The system provides security, availability, and ...
William J. Bolosky, John R. Douceur, David Ely, Ma...
Aspect oriented programming has been proposed as a way to improve modularity of software systems by allowing encapsulation of cross-cutting concerns. To do so, aspects specify whe...
Tabletop groupware systems have natural advantages for collaboration, but they present a challenge for application designers because shared work and interaction progress in differe...