Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
This paper presents Carnegie Mellon University’s experiments on the mixed named-page and homepage finding task of the TREC 12 Web Track. Our results were strong; we achieved the...
To provide performant access to data from high energy physics experiments such as the Large Hadron Collider (LHC), controlled replication of files among grid sites is required. Dy...
Caitriana Nicholson, David G. Cameron, A. T. Doyle...
This paper presents a case study concerning the challenges and requirements posed by next generation language resources, realized as an overall model of open, distributed and coll...
Federico Calzolari, Eva Sassolini, Manuela Sassi, ...
This paper presents a pattern classification system in which feature extraction and classifier learning are simultaneously carried out not only online but also in one pass where tr...