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...
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...
The design of Adaptive Hypermedia is a difficult task which can be made easier if generic systems and AH creators’ models are reused. We address this design problem in the settin...
— We present a computational model of human category learning that learns the essential structures of the categories by forgetting information that is not useful for the given ta...
-- In this paper it is explored whether personalisation of an existing computational model of attention can increase the model's validity. Computational models of attention ar...