Decision trees are widely disseminated as an effective solution for classification tasks. Decision tree induction algorithms have some limitations though, due to the typical strat...
A significant advance in inductive modelling are systems that retain learned knowledge and selectively transfer portions of that knowledge as a source of inductive bias. We defi...
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
This paper focuses on inductive invariants in unbounded model checking to improve efficiency and scalability. First of all, it introduces optimized techniques to speedup the comp...
Abstract— Model checking can be aided by inductive invariants, small local properties that can be proved by simple induction. We present a way to automatically extract inductive ...
Michael L. Case, Alan Mishchenko, Robert K. Brayto...