Time series data is common in many settings including scientific and financial applications. In these applications, the amount of data is often very large. We seek to support pred...
The statistical characteristics of network traffic - in particular the observation that it can exhibit long range dependence - have received considerable attention from the resear...
Daniel R. Figueiredo, Benyuan Liu, Vishal Misra, D...
We present a novel hybrid technique for improving the predictive performance of an online Machine Learning system: Combining advantages from both memory based and concept based pr...
Marcus-Christopher Ludl, Achim Lewandowski, Georg ...
We show that jointly parsing a bitext can substantially improve parse quality on both sides. In a maximum entropy bitext parsing model, we define a distribution over source trees,...
Adaptation of visually guided reaching movements in novel visuomotor environments (e.g. wearing prism goggles) comprises not only motor adaptation but also substantial sensory ada...
Adrian Haith, Carl P. T. Jackson, R. Chris Miall, ...