Abstract. In the last fifteen years, several research efforts have been directed towards the representation and the analysis of metabolic pathways by using Petri nets. The goal o...
Paolo Baldan, Nicoletta Cocco, Andrea Marin, Marta...
Efficient processing of tera-scale text data is an important research topic. This paper proposes lossless compression of Ngram language models based on LOUDS, a succinct data stru...
The ever-growing use of modeling languages today is largely due to a maturation of model-based development technologies. However, there is enough room for improving language specif...
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Enterprise corpora contain evidence of what employees work on and therefore can be used to automatically find experts on a given topic. We present a general approach for represen...