Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
Abstract. We study the problem of authenticating the content and creation time of documents generated by an organization and retained in archival storage. Recent regulations (e.g.,...
Distributed proof construction protocols have been shown to be valuable for reasoning about authorization decisions in open distributed environments such as pervasive computing sp...
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
Data-layout optimizations rearrange fields within objects, objects within objects, and objects within the heap, with the goal of increasing spatial locality. While the importance ...