Predicting accurately the spatiotemporal evolution of a diffusive environmental hazard is of paramount importance for its effective containment. We approximate the front line of a...
We introduce a model class for statistical learning which is based on mixtures of propositional rules. In our mixture model, the weight of a rule is not uniform over the entire ins...
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Jo...
Future embedded systems are expected to use chip-multiprocessors to provide the execution power for increasingly demanding applications. Multiprocessors increase the pressure on th...
Martin Schoeberl, Wolfgang Puffitsch, Benedikt Hub...
We present a bundled data communication scheme that is robust to crosstalk effects, and to manufacturing and environmental variations. Unlike a data bus, where each receiver alway...