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]

Authors

Mirko Polato

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Fabio Aiolli

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