Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem

Juan Carlos Alfaro, Juan A. Aledo, José A. Gámez 0001. Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem. In Hujun Yin, David Camacho, Peter Tiño, Richard Allmendinger 0001, Antonio J. Tallón-Ballesteros, Ke Tang, Sung-Bae Cho, Paulo Novais, Susana Nascimento, editors, Intelligent Data Engineering and Automated Learning - IDEAL 2021 - 22nd International Conference, IDEAL 2021, Manchester, UK, November 25-27, 2021, Proceedings. Volume 13113 of Lecture Notes in Computer Science, pages 277-288, Springer, 2021. [doi]

Abstract

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