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Positive and negative fuzzy rule system, extreme learning machine and image classification.

, , and . Int. J. Mach. Learn. Cybern., 2 (4): 261-271 (2011)

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Joint Information Preservation for Heterogeneous Domain Adaptation., , , , and . CoRR, (2019)Knowledge-leverage based TSK fuzzy system with improved knowledge transfer., , , and . FUZZ-IEEE, page 178-185. IEEE, (2014)Training probability transductive classifiers for group probability datasets based on regression., , , and . FSKD, page 444-449. IEEE, (2013)Extreme vector machine for fast training on large data., , and . Int. J. Machine Learning & Cybernetics, 11 (1): 33-53 (2020)Semi-supervised fuzzy broad learning system based on mean-teacher model., , , , and . Pattern Anal. Appl., 27 (1): 18 (March 2024)Multi-scale Semantic Correlation Mining for Visible-Infrared Person Re-Identification., , , , , and . CoRR, (2023)Semi-Supervised SVM With Extended Hidden Features., , , and . IEEE Trans. Cybern., 46 (12): 2924-2937 (2016)Robust Multi-Label Relief Feature Selection Based on Fuzzy Margin Co-Optimization., , , , , and . IEEE Trans. Emerg. Top. Comput. Intell., 6 (2): 387-398 (2022)Cross-domain, soft-partition clustering with diversity measure and knowledge reference., , , , , , and . Pattern Recognit., (2016)Interpretable Feature Learning Using Multi-output Takagi-Sugeno-Kang Fuzzy System for Multi-center ASD Diagnosis., , , , , , , and . MICCAI (3), volume 11766 of Lecture Notes in Computer Science, page 790-798. Springer, (2019)