3 papers
cs.LG2020
Automatic Setting of DNN Hyper-Parameters by Mixing Bayesian Optimization and Tuning Rules
Michele Fraccaroli, Evelina Lamma, Fabrizio Riguzzi
Deep learning techniques play an increasingly important role in industrial and research environments due to their outstanding results. However, the large number of hyper-parameters…
cs.AI2018
Probabilistic DL Reasoning with Pinpointing Formulas: A Prolog-based Approach
Riccardo Zese, Giuseppe Cota, Evelina Lamma +2
When modeling real world domains we have to deal with information that is incomplete or that comes from sources with different trust levels. This motivates the need for managing un…
cs.LO2004
A CHR-based Implementation of Known Arc-Consistency
Marco Alberti, Marco Gavanelli, Evelina Lamma +2
In classical CLP(FD) systems, domains of variables are completely known at the beginning of the constraint propagation process. However, in systems interacting with an external env…