We present a computational model of the neural mechanisms in the parietal and temporal lobes that support spatial navigation, recall of scenes and imagery of the products of recal...
Evaluating, analyzing and predicting the performance of a parallel system is challenging due to the complex inter-play between the application characteristics and architectural fe...
We report grammar inference experiments on partially parsed sentences taken from the Wall Street Journal corpus using the inside-outside algorithm for stochastic context-free gram...
This paper retains the experiences by participating in TREC 2007 Blog Track ‘Feed Distillation’. To perform the run various classifiers are combined, which analyze title-, co...
Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel
This paper presents a scheme for unsupervised classification with Gaussian mixture models by means of statistical learning analysis. A Bayesian Ying-Yang harmony learning system a...