Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning

Mirko Polato, Fabio Aiolli. Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning. In The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019. pages 4723-4730, AAAI Press, 2019. [doi]

Abstract

Abstract is missing.