Power dissipation is a major concern not only for portable systems, but also for high-performance systems. In the past, energy consumption and processor heating was reduced mainly...
Binary decision trees based on univariate splits have traditionally employed so-called impurity functions as a means of searching for the best node splits. Such functions use estim...
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Abstract. Many advances in grid resource management are still required to realize the grid computing vision of the integration of a worldwide computing infrastructure for scientifi...
Alexandru Iosup, Omer Ozan Sonmez, Dick H. J. Epem...