Ensemble methods have proved to be highly effective in improving the performance of base learners under most circumstances. In this paper, we propose a new algorithm that combine...
A new model for learning from multinomial data has recently been developed, giving predictive inferences in the form of lower and upper probabilities for a future observation. Apa...
This article concerns red-light running at intersections and deals with the impact of different types of control strategies. Red running occurrences at red onset are observed throu...
In this paper, a cascade discrete-continuous state estimator on a partial order is proposed and its existence investigated. The continuous state estimation error is bounded by a mo...
Debugging distributed applications is a wellknown challenge within the realm of Computer Science. Common problems faced by developers include: lack of an observable global state, ...