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Automatic determination about precision parameter value based on inclusion degree with variable precision rough set model., , , and . Inf. Sci., (2015)Causality-Driven Intra-class Non-equilibrium Label-Specific Features Learning., , , and . Neural Process. Lett., 56 (2): 120 (April 2024)Unlabeled Data Classification via Support Vector Machines and k-means Clustering., , and . CGIV, page 183-186. IEEE Computer Society, (2004)Qualitative Simulation and Reasoning with Feature Reduction Based on Boundary Conditional Entropy of Knowledge., , , and . PAKDD, volume 4426 of Lecture Notes in Computer Science, page 457-464. Springer, (2007)The Relationships Between Variable Precision Value and Knowledge Reduction Based on Variable Precision Rough Sets Model., , and . RSKT, volume 4062 of Lecture Notes in Computer Science, page 122-128. Springer, (2006)Multi-view multi-label learning with view feature attention allocation., , , and . Neurocomputing, (2022)Multi-label learning with kernel extreme learning machine autoencoder., , , and . Knowl. Based Syst., (2019)Parallel dual-channel multi-label feature selection., , , and . Soft Comput., 27 (11): 7115-7130 (June 2023)Multi-label space reshape for semantic-rich label-specific features learning., , and . Int. J. Mach. Learn. Cybern., 13 (4): 1005-1019 (2022)A New Optical Fiber Bragg Grating Dynamic Signal Demodulation Method Based on Work-Point Controlling., , , , and . ICDMA, page 105-107. IEEE Computer Society, (2012)