Divide-and-Conquer Parallelism for Learning Mixture Models

Takaya Kawakatsu, Akira Kinoshita, Atsuhiro Takasu, Jun Adachi. Divide-and-Conquer Parallelism for Learning Mixture Models. T. Large-Scale Data- and Knowledge-Centered Systems, 28:23-47, 2016. [doi]

@article{KawakatsuKTA16,
  title = {Divide-and-Conquer Parallelism for Learning Mixture Models},
  author = {Takaya Kawakatsu and Akira Kinoshita and Atsuhiro Takasu and Jun Adachi},
  year = {2016},
  doi = {10.1007/978-3-662-53455-7_2},
  url = {http://dx.doi.org/10.1007/978-3-662-53455-7_2},
  researchr = {https://researchr.org/publication/KawakatsuKTA16},
  cites = {0},
  citedby = {0},
  journal = {T. Large-Scale Data- and Knowledge-Centered Systems},
  volume = {28},
  pages = {23-47},
}