Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...
We conduct large-scale experiments to investigate optimal features for classification of verbs in biomedical texts. We introduce a range of feature sets and associated extraction ...
Abstract. Median clustering extends popular neural data analysis methods such as the self-organizing map or neural gas to general data structures given by a dissimilarity matrix on...
Barbara Hammer, Alexander Hasenfuss, Fabrice Rossi
As the number of available Web services increases there is a growing demand to realise complex business processes by combining and reusing available Web services. In this context,...
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...