We propose a novel boosting algorithm which improves on current algorithms for weighted voting classification by striking a better balance between classification accuracy and the ...
Detecting impending failure of hard disks is an important prediction task which might help computer systems to prevent loss of data and performance degradation. Currently most of t...
We combine the power law of learning and theoretical upper limit predictions to describe the development of text entry rates from users' first contact to asymptotic expert us...
Today's computer supported modelling environments could provide much more information about the users’ actions and problem solving processes than they usually store for late...
Abstract. We consider the case where inconsistencies are present between a system and its corresponding model, used for automatic verification. Such inconsistencies can be the resu...