We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Life science researchers frequently need to query large protein data sets in a variety of different ways. Protein data sets have a rich structure that includes its primary structu...
—Knowledge inference from semi-structured data can utilize frequent sub structures, in addition to frequency of data items. In fact, the working assumption of the present study i...
Hypersequents are nite sets of ordinary sequents. We show that multiple-conclusion sequents and single-conclusion hypersequents represent two di erent natural methods of switching...
Instruction and data address traces are widely used by computer designers for quantitative evaluations of new architectures and workload characterization, as well as by software de...
Milena Milenkovic, Aleksandar Milenkovic, Martin B...