Abstract. Reference process models capture common practices in a given domain and variations thereof. Such models are intended to be configured in a specific setting, leading to in...
Marcello La Rosa, Florian Gottschalk, Marlon Dumas...
Existing retrieval models generally do not offer any guarantee for optimal retrieval performance. Indeed, it is even difficult, if not impossible, to predict a model’s empirica...
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
We develop a probabilistic criterion for belief expansion that is sensitive to the degree of contextual fit of the new information to our belief set as well as to the reliability...
In this contribution, a fuzzy-set-based information retrieval model is considered. First, we show that the retrieval mechanism of such a retrieval model can be defined in terms of ...