Dirichlet process mixture models made scalable and effective by means of massive distribution

Khadidja Meguelati, Benedicte Fontez, Nadine Hilgert, Florent Masseglia. Dirichlet process mixture models made scalable and effective by means of massive distribution. In Chih-Cheng Hung, George A. Papadopoulos, editors, Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019. pages 502-509, ACM, 2019. [doi]

@inproceedings{MeguelatiFHM19,
  title = {Dirichlet process mixture models made scalable and effective by means of massive distribution},
  author = {Khadidja Meguelati and Benedicte Fontez and Nadine Hilgert and Florent Masseglia},
  year = {2019},
  doi = {10.1145/3297280.3297327},
  url = {https://doi.org/10.1145/3297280.3297327},
  researchr = {https://researchr.org/publication/MeguelatiFHM19},
  cites = {0},
  citedby = {0},
  pages = {502-509},
  booktitle = {Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, SAC 2019, Limassol, Cyprus, April 8-12, 2019},
  editor = {Chih-Cheng Hung and George A. Papadopoulos},
  publisher = {ACM},
  isbn = {978-1-4503-5933-7},
}