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Classifier Chains for Multi-label Classification.

, , , and . ECML/PKDD (2), volume 5782 of Lecture Notes in Computer Science, page 254-269. Springer, (2009)

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Learning Distance Metrics for Multi-Label Classification., , and . ACML, volume 63 of JMLR Workshop and Conference Proceedings, page 318-333. JMLR.org, (2016)Merit-guided dynamic feature selection filter for data streams., , , , and . Expert Syst. Appl., (2019)From Unlabelled Tweets to Twitter-specific Opinion Words., , and . SIGIR, page 743-746. ACM, (2015)Relational Random Forests Based on Random Relational Rules., and . IJCAI, page 986-991. (2009)MEKA: A Multi-label/Multi-target Extension to WEKA., , , and . J. Mach. Learn. Res., (2016)Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning., and . PAKDD, volume 5012 of Lecture Notes in Computer Science, page 494-502. Springer, (2008)Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant., , and . PAKDD, volume 4426 of Lecture Notes in Computer Science, page 236-247. Springer, (2007)A New MDL Measure for Robust Rule Induction (Extended Abstract).. ECML, volume 912 of Lecture Notes in Computer Science, page 331-334. Springer, (1995)Semi-supervised Learning Using Siamese Networks., , and . Australasian Conference on Artificial Intelligence, volume 11919 of Lecture Notes in Computer Science, page 586-597. Springer, (2019)On Dynamic Feature Weighting for Feature Drifting Data Streams., , , , and . ECML/PKDD (2), volume 9852 of Lecture Notes in Computer Science, page 129-144. Springer, (2016)