Using Dirichlet priors to improve model parameter plausibility

Dovan Rai, Yue Gong, Joseph Beck. Using Dirichlet priors to improve model parameter plausibility. In Tiffany Barnes, Michel C. Desmarais, Cristóbal Romero, Sebastián Ventura, editors, Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining. pages 141-150, www.educationaldatamining.org, 2009. [doi]

@inproceedings{RaiGB09,
  title = {Using Dirichlet priors to improve model parameter plausibility},
  author = {Dovan Rai and Yue Gong and Joseph Beck},
  year = {2009},
  url = {http://www.educationaldatamining.org/EDM2009/uploads/proceedings/rai.pdf},
  researchr = {https://researchr.org/publication/RaiGB09},
  cites = {0},
  citedby = {0},
  pages = {141-150},
  booktitle = {Educational Data Mining - EDM 2009, Cordoba, Spain, July 1-3, 2009. Proceedings of the 2nd International Conference on Educational Data Mining},
  editor = {Tiffany Barnes and Michel C. Desmarais and Cristóbal Romero and Sebastián Ventura},
  publisher = {www.educationaldatamining.org},
  isbn = {978-84-613-2308-1},
}