The Relevance Vector Machine (RVM) is a sparse approximate Bayesian kernel method. It provides full predictive distributions for test cases. However, the predictive uncertainties ...
As XML has emerged as a data representation format and as great quantities of data have been stored in the XML format, XML document design has become an important and evident issu...
We show that a wide class of bidirectional data-flow analyses and program optimizations based on them admit declarative descriptions in the form of type systems. The salient feat...
We study the problem of estimating the average of a Lipschitz continuous function f defined over a metric space, by querying f at only a single point. More specifically, we explore...
This paper presents a case study of the NASA Ames Research Center HCI Group's design and development of a problem reporting system for NASA's next generation vehicle (to...
Collin Green, Irene Tollinger, Christian Ratterman...