Author:
Huang Tao,Zhao Su-Yun,Chen Hong,Liu Yi-Xuan
Publisher
Springer Science and Business Media LLC
Subject
Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software
Reference28 articles.
1. Blei D M, Ng A Y, Jordan M. Latent Dirichlet allocation. The Journal of Machine Learning Research, 2003, 3: 933-1022.
2. Wang Y, Zhao X, Sun Z, Yan H, Wang L, Jin Z, Wang L, Gao Y, Zeng J, Yang Q, Law C. Towards topic modeling for big data. arXiv:1405.4402v1, 2014. https://arxiv.org/abs/1405.4402v1, June 2022.
3. Yu L, Zhang C, Shao Y, Cui B. LDA*: A robust and large-scale topic modeling system. Proceedings of the VLDB Endowment, 2017, 10(11): 1406-1417. https://doi.org/10.14778/3137628.3137649.
4. Yuan J, Gao F, Ho Q, Dai W, Wei J, Zheng X, Xing E, Liu T, Ma W. LightLDA: Big topic models on modest computer clusters. In Proc. the 24th International Conference on World Wide Web, May 2015, pp.1351-1361. https://doi.org/10.1145/2736277.2741115.
5. Zhao F, Ren X, Yang S, Yang X. On privacy protection of latent Dirichlet allocation model training. arXiv:1906.01178, 2019. https://arxiv.org/abs/1906.01178, July 2022.