Some online algorithms for linear classification model the uncertainty in their weights over the course of learning. Modeling the full covariance structure of the weights can prov...
Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer...
In a typical Genetic Association Study (GAS) several hundreds to millions of genomic variables are measured and tested for association with a given set of a phenotypic variables (...
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...
Antti Airola, Tapio Pahikkala, Willem Waegeman, Be...
Huge amounts of legacy documents are being published by on-line digital libraries world wide. However, for these raw digital images to be really useful, they need to be transcribe...
In this article we present an application of text-analysis technologies to support social science research, in particular the analysis of patterns in news content. We describe a s...
Omar Ali, Ilias N. Flaounas, Tijl De Bie, Nick Mos...