Studying the learnability of classes of recursive functions has attracted considerable interest for at least four decades. Starting with Gold's (1967) model of learning in th...
Background: Unraveling the mechanisms that regulate gene expression is a major challenge in biology. An important task in this challenge is to identify regulatory elements, especi...
Ensuring correctness of software by formal methods is a very relevant and widely studied problem. Automatic verification of software using model checkers from the state space exp...
The main claim of this paper is that machine learning can help integrate the construction of ontologies and extraction grammars and lead us closer to the Semantic Web vision. The p...
Model transformations are a key element in the OMG’s Model Driven Development agenda. They did not begin here: the fundamental idea of transforming, automatically, one model into...