Open AccessPredicting the Possibilistic Score of OWL Axioms through Support Vector Regression
Author(s) -
Dario Malchiodi,
da Costa Pereira, Célia,
Tettamanzi, Andrea G. B.
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - computer science , support vector machine , regression , artificial intelligence , axiom , regression analysis , machine learning , data mining , statistics , mathematics , geometry