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]
@inproceedings{PolatoA19-0, title = {Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning}, author = {Mirko Polato and Fabio Aiolli}, year = {2019}, url = {https://aaai.org/ojs/index.php/AAAI/article/view/4398}, researchr = {https://researchr.org/publication/PolatoA19-0}, cites = {0}, citedby = {0}, pages = {4723-4730}, booktitle = {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}, publisher = {AAAI Press}, isbn = {978-1-57735-809-1}, }