Visual Query Languages represent an evolution, in terms of understandability and adaptability, with respect to traditional textual languages. We present an iconic query system tha...
Lerina Aversano, Gerardo Canfora, Andrea De Lucia,...
This paper reports on a study involving the automatic extraction of Chinese legal terms. We used a word segmented corpus of Chinese court judgments to extract salient legal expres...
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...