Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach

Weipéng Huáng, Nishma Laitonjam, Guangyuan Piao, Neil J. Hurley. Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach. In Kamal Karlapalem, Hong Cheng 0001, Naren Ramakrishnan, R. K. Agrawal 0001, P. Krishna Reddy, Jaideep Srivastava, Tanmoy Chakraborty 0002, editors, Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III. Volume 12714 of Lecture Notes in Computer Science, pages 206-218, Springer, 2021. [doi]

@inproceedings{HuangLPH21,
  title = {Inferring Hierarchical Mixture Structures: A Bayesian Nonparametric Approach},
  author = {Weipéng Huáng and Nishma Laitonjam and Guangyuan Piao and Neil J. Hurley},
  year = {2021},
  doi = {10.1007/978-3-030-75768-7_17},
  url = {https://doi.org/10.1007/978-3-030-75768-7_17},
  researchr = {https://researchr.org/publication/HuangLPH21},
  cites = {0},
  citedby = {0},
  pages = {206-218},
  booktitle = {Advances in Knowledge Discovery and Data Mining - 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11-14, 2021, Proceedings, Part III},
  editor = {Kamal Karlapalem and Hong Cheng 0001 and Naren Ramakrishnan and R. K. Agrawal 0001 and P. Krishna Reddy and Jaideep Srivastava and Tanmoy Chakraborty 0002},
  volume = {12714},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-75768-7},
}