Predicting the possibilistic score of OWL axioms through support vector regression

DOI10.1007/978-3-030-00461-3_28zbMath1517.68381MaRDI QIDQ6109631

Dario Malchiodi, Célia da Costa Pereira, Andrea G. B. Tettamanzi

Publication date: 28 July 2023

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

zbMATH Keywords

support vector regressionpossibilistic OWL axiom scoring

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

This page was built for publication: Predicting the possibilistic score of OWL axioms through support vector regression