SEMPRE scales SLIPCOVER by following a MapReduce strategy, directly implemented with the Message Passing Interface. It parallelizes three operations of SLIPCOVER by employing a given number of workers, in order to reduce the learning running time. More details about SLIPCOVER can be retreived here.
Fabrizio Riguzzi, Elena Bellodi, Riccardo Zese, Giuseppe Cota, and Evelina Lamma. Scaling structure learning of probabilistic logic programs by mapreduce. In Maria Fox and Gal Kaminka, editors, 22nd European Conference on Artificial Intelligence ECAI 2016, volume 285 of Frontiers in Artificial Intelligence and Applications, pages 1602-1603. IOS Press, © CC-BY-NC 4.0, 2016. [ bib | DOI | http ]