Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Paraphrase detection can be seen as the task of aligning sentences that convey the same information but yet are written in different forms. Such resources are important to automat...
Abstract. Web services represent a promising technology for the development of distributed heterogeneous software systems. In this setting, a major issue is to establish whether tw...
Filippo Bonchi, Antonio Brogi, Sara Corfini, Fabio...
We study perfectly locally computable structures, which are (possibly uncountable) structures S that have highly effective presentations of their local properties. We show that eve...
We study the approximability of predicates on k variables from a domain [q], and give a new sufficient condition for such predicates to be approximation resistant under the Unique...