Abstract. Gaussian graphical models are widely used to tackle the important and challenging problem of inferring genetic regulatory networks from expression data. These models have...
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
Abstract--This paper investigates the performance of a new multivariate method for tensor-based morphometry (TBM). Statistics on Riemannian manifolds are developed that exploit the...
Natasha Lepore, Caroline A. Brun, Yi-Yu Chou, Ming...
In the static analysis of functional programs, pushdown flow analabstract garbage collection skirt just inside the boundaries of soundness and decidability. Alone, each method re...
Christopher Earl, Ilya Sergey, Matthew Might, Davi...
The most acute information management challenges today stem from organizations relying on a large number of diverse, interrelated data sources, but having no means of managing the...