Label Ranking Algorithms: A Survey

DOI10.1007/978-3-642-14125-6_3zbMath1214.68301OpenAlexW1932717476MaRDI QIDQ3061112

Thomas Gärtner, Shankar Vembu

Publication date: 14 December 2010

Published in: Preference Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-14125-6_3

zbMATH Keywords

hierarchical classificationmultilabel classificationmulticlass prediction

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

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A review on instance ranking problems in statistical learning ⋮ Comparing boosting and bagging for decision trees of rankings ⋮ Discovering a taste for the unusual: exceptional models for preference mining ⋮ Dyad ranking using Plackett-Luce models based on joint feature representations ⋮ Multi-dimensional Bayesian network classifiers for partial label ranking ⋮ Ensemble learning for the partial label ranking problem ⋮ Preference-based reinforcement learning: a formal framework and a policy iteration algorithm ⋮ Supervised clustering of label ranking data using label preference information ⋮ Unnamed Item

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