Empirical modeling of the score distributions associated with retrieved documents is an essential task for many retrieval applications. In this work, we propose modeling the releva...
Probabilistic trust has been adopted as an approach to taking security sensitive decisions in modern global computing environments. Existing probabilistic trust frameworks either a...
Abstract. The formalization and use of experiences in good model design would make an important contribution to increasing the efficiency of modeling as well as to supporting the k...
Model transformations provide a powerful capability to automate model refinements. However, the use of model transformation languages may present challenges to those who are unfami...
In this work we implement a confidence estimation system based on a Naive Bayes classifier, by using the maximum entropy paradigm. The model takes information from various sourc...