Regularization plays a central role in the analysis of modern data, where non-regularized fitting is likely to lead to over-fitted models, useless for both prediction and interpre...
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
Standard cells are fundamental circuit building blocks designed at very early design stages. Nanometer standard cells are prone to lithography proximity and process variations. Ho...
Yongchan Ban, Savithri Sundareswaran, David Z. Pan
In the past emotions have been dismissed as a distraction to the logical, scientific thought process. More recently however, the importance of emotion in human-like intelligence a...
This paper presents an approach that uses special purpose RBAC constraints to base certain access control decisions on context information. In our approach a context constraint is...