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ML-KNN: A lazy learning approach to multi-label learning.

, and . Pattern Recognit., 40 (7): 2038-2048 (2007)

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Ensemble.. Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Multi-Label Learning with Deep Forest., , , and . CoRR, (2019)A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions., , and . IDEAL, volume 9937 of Lecture Notes in Computer Science, page 457-467. Springer, (2016)An analysis on recombination in multi-objective evolutionary optimization., , and . GECCO, page 2051-2058. ACM, (2011)On Algorithm-Dependent Boundary Case Identification for Problem Classes., , and . PPSN (1), volume 7491 of Lecture Notes in Computer Science, page 62-71. Springer, (2012)Can Deep Learning Only Be Neural Networks?. WSDM, page 6. ACM, (2020)Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 3160-3179. PMLR, (2019)Semi-supervised document retrieval., , and . Inf. Process. Manag., 45 (3): 341-355 (2009)A new face recognition method based on SVD perturbation for single example image per person., , and . Appl. Math. Comput., 163 (2): 895-907 (2005)Crowdsourcing with unsure option., and . Mach. Learn., 107 (4): 749-766 (2018)