A nonparametric version of the basis pursuit method is developed for field estimation. The underlying model entails known bases, weighted by generic functions to be estimated fro...
Background: Techniques for measuring protein abundance are rapidly advancing and we are now in a situation where we anticipate many protein abundance data sets will be available i...
Eric Z. Yu, Anne E. Counterman Burba, Mark Gerstei...
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
The design and evaluation of microprocessor architectures is a difficult and time-consuming task. Although small, handcoded microbenchmarks can be used to accelerate performance e...
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...