Scienti c research addressing global change continues to generate large quantities of information for analysis and understanding. However, the volume, distributed nature, and dive...
Betty H. C. Cheng, Robert H. Bourdeau, Gerald C. G...
This paper presents an investigation into the classification of a difficult data set containing large intra-class variability but low inter-class variability. Standard classifiers...
In this paper we model relational random variables on the edges of a network using Gaussian processes (GPs). We describe appropriate GP priors, i.e., covariance functions, for dir...
Background: Supertree methods comprise one approach to reconstructing large molecular phylogenies given multi-marker datasets: trees are estimated on each marker and then combined...
Transactional memory is an alternative programming model for managing contention in accessing shared in-memory data objects. Distributed transactional memory (TM) promises to alle...