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Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process.

J. Xuan, J. Lu, G. Zhang, R. Xu, and X. Luo. CoRR, (2015)

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Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization.J. Xuan, J. Lu, G. Zhang, and R. Xu. CoRR, (2017)Infinite Author Topic Model Based on Mixed Gamma-Negative Binomial Process.J. Xuan, J. Lu, G. Zhang, R. Xu, and X. Luo. ICDM, page 489-498. IEEE Computer Society, (2015)Semantic Structure-Based Word Embedding by Incorporating Concept Convergence and Word Divergence.Q. Liu, H. Huang, G. Zhang, Y. Gao, J. Xuan, and J. Lu. AAAI, page 5261-5268. AAAI Press, (2018)A Bayesian nonparametric model for multi-label learning.J. Xuan, J. Lu, G. Zhang, R. Xu, and X. Luo. Machine Learning, 106 (11): 1787-1815 (2017)Building knowledge base of urban emergency events based on crowdsourcing of social media.Z. Xu, H. Zhang, C. Hu, L. Mei, J. Xuan, K. Choo, V. Sugumaran, and Y. Zhu. Concurrency and Computation: Practice and Experience, 28 (15): 4038-4052 (2016)A Causal Dirichlet Mixture Model for Causal Inference from Observational Data.A. Lin, J. Lu, J. Xuan, F. Zhu, and G. Zhang. ACM Trans. Intell. Syst. Technol., 11 (3): 33:1-33:29 (2020)Bayesian Nonparametric Unsupervised Concept Drift Detection for Data Stream Mining.J. Xuan, J. Lu, and G. Zhang. ACM Trans. Intell. Syst. Technol., 12 (1): 5:1-5:22 (2021)Cognitive memory-inspired sentence ordering model.W. Liu, X. Luo, J. Xuan, Z. Xu, and D. Jiang. Knowl.-Based Syst., (2016)Cooperative hierarchical Dirichlet processes: Superposition vs. maximization.J. Xuan, J. Lu, and G. Zhang. Artif. Intell., (2019)Open Set Domain Adaptation: Theoretical Bound and Algorithm.Z. Fang, J. Lu, F. Liu, J. Xuan, and G. Zhang. CoRR, (2019)

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Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process.

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Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process.