When correct priors are known, Bayesian algorithms give optimal decisions, and accurate confidence values for predictions can be obtained. If the prior is incorrect however, these...
Thomas Melluish, Craig Saunders, Ilia Nouretdinov,...
The biological sciences are undergoing an explosion in the amount of available data. New data analysis methods are needed to deal with the data. We present work using KDD to analys...
The paper investigates a feasibility of fuzzy models application in measurement procedures. It considers the problem of measurement information fusion from different sources, when ...
Abstract. Performance understanding and prediction are extremely important goals for guiding the application of program optimizations or in helping programmers focus their efforts...
Abstract-- Typical industrial assembly tasks require an accuracy that cannot be realized by only feedback control if a minimum speed is given by a conveyor. Feed-forward has proven...
Friedrich Lange, Johannes Scharrer, Gerd Hirzinger