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Learning Macroscopic Brain Connectomes via Group-Sparse Factorization., , , , , , , , and . NeurIPS, page 8847-8857. (2019)Spatial Colocation Pattern Discovery Incorporating Fuzzy Theory., , , , and . IEEE Trans. Fuzzy Syst., 30 (6): 2055-2072 (2022)The Utility of Sparse Representations for Control in Reinforcement Learning., , , and . AAAI, page 4384-4391. AAAI Press, (2019)Mining Spatial Co-location Patterns by the Fuzzy Technology., , and . ICBK, page 129-136. IEEE, (2019)On Predictability of Rare Events Leveraging Social Media: A Machine Learning Perspective., , and . COSN, page 3-13. ACM, (2015)The Utility of Sparse Representations for Control in Reinforcement Learning., , , and . CoRR, (2018)Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces., , , , and . CoRR, (2018)Comparing Theory and Measurements of Cross-Polar Fields of a Phased-Array Weather Radar., , , , and . IEEE Geosci. Remote. Sens. Lett., 8 (5): 1002-1006 (2011)Supervised autoencoders: Improving generalization performance with unsupervised regularizers., , and . NeurIPS, page 107-117. (2018)Learning Sparse Representations in Reinforcement Learning with Sparse Coding., , and . IJCAI, page 2067-2073. ijcai.org, (2017)