Existing data mining techniques mostly focus on finding global patterns and lack the ability to systematically discover regional patterns. Most relationships in spatial datasets ar...
Oner Ulvi Celepcikay, Christoph F. Eick, Carlos Or...
Boosting methods are known to exhibit noticeable overfitting on some datasets, while being immune to overfitting on other ones. In this paper we show that standard boosting algorit...
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
An energy optimization is proposed that addresses the nontrivial digital contribution to power and impact on performance in high-speed mixed-signal circuits. Parallel energy and b...
Distributed applications are based on algorithms which should be able to deal with time constraints. It is mandatory to express time constraints in (mathematical) models and the cu...