A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
Choon Hui Teo, Alex J. Smola, S. V. N. Vishwanatha...
Faceted browsing is a promising way to incrementally refine data sets. Current approaches do not scale well in terms of screen size and have shortcomings in interacting with hiera...
In the United States, computer-based voting machines are rapidly replacing other older technologies. While there is potential for this to be a usability improvement, particularly ...
Michael D. Byrne, Kristen K. Greene, Sarah P. Ever...
Building processors with large instruction windows has been proposed as a mechanism for overcoming the memory wall, but finding a feasible and implementable design has been an elu...
It is often useful to know the geographic positions of nodes in a communications network, but adding GPS receivers or other sophisticated sensors to every node can be expensive. W...
Yi Shang, Wheeler Ruml, Ying Zhang, Markus P. J. F...