We have proposed a method of machine translation, which acquires translation rules from translation examples using inductive learning, and have evaluated the method. And we have c...
Project-centered learning increasingly demands for communication tools to enhance learners’ virtual interaction. In the context of the COOPER EU project a
Nicola Aste, Aldo Bongio, Stefano Ceri, Marco Fais...
In this paper we present an application of explanation-based learning (EBL) in the parsing module of a real-time English-Spanish machine translation system designed to translate c...
Janine Toole, Fred Popowich, Devlan Nicholson, Dav...
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
We consider the problem of multi-task learning, that is, learning multiple related functions. Our approach is based on a hierarchical Bayesian framework, that exploits the equival...