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A k-nearest neighbor based algorithm for multi-label classification.

, and . GrC, page 718-721. IEEE, (2005)

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Enhancing Binary Relevance for Multi-label Learning with Controlled Label Correlations Exploitation., and . PRICAI, volume 8862 of Lecture Notes in Computer Science, page 91-103. Springer, (2014)Towards Class-Imbalance Aware Multi-Label Learning., , and . IJCAI, page 4041-4047. AAAI Press, (2015)Exploiting unlabeled data to enhance ensemble diversity., and . Data Min. Knowl. Discov., 26 (1): 98-129 (2013)Improve Multi-Instance Neural Networks through Feature Selection., and . Neural Processing Letters, 19 (1): 1-10 (2004)Lift: Multi-Label Learning with Label-Specific Features., and . IEEE Trans. Pattern Anal. Mach. Intell., 37 (1): 107-120 (2015)Multi-instance clustering with applications to multi-instance prediction., and . Appl. Intell., 31 (1): 47-68 (2009)ML-KNN: A lazy learning approach to multi-label learning., and . Pattern Recognit., 40 (7): 2038-2048 (2007)Multilabel Neural Networks with Applications to Functional Genomics and Text Categorization, and . IEEE Transactions on Knowledge and Data Engineering, 18 (10): 1338-1351 (October 2006)Maximum margin partial label learning., and . Mach. Learn., 106 (4): 573-593 (2017)A Review On Multi-Label Learning Algorithms, and . (2014)