Lexicalized Well-Founded Grammar (LWFG) is a recently developed syntacticsemantic grammar formalism for deep language understanding, which balances expressiveness with provable le...
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
The research field of "extracting knowledge bases from text collections" seems to be mature: its target and its working hypotheses are clear. In this paper we propose a ...
We present two algorithms for supporting semi-automatic ontology building, integrated in WPro, a new architecture for ontology learning from Web documents. The first algorithm auto...
Daniele Bagni, Marco Cappella, Maria Teresa Pazien...
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...