Abstract. Social tagging systems provide methods for users to categorise resources using their own choice of keywords (or "tags") without being bound to a restrictive set...
Morgan Harvey, Mark Baillie, Ian Ruthven, Mark Jam...
We address the challenge of assessing conservation of gene expression in complex, non-homogeneous datasets. Recent studies have demonstrated the success of probabilistic models in...
Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This p...
We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived fr...
The selection of an optical flow method is mostly a choice from among accuracy, efficiency and ease of implementation. While variational approaches tend to be more accurate than lo...
Claudia Nieuwenhuis, Daniel Kondermann, Christoph ...