Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering

So Hirai, Kenji Yamanishi. Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering. IEEE Transactions on Information Theory, 59(11):7718-7727, 2013. [doi]

@article{HiraiY13,
  title = {Efficient Computation of Normalized Maximum Likelihood Codes for Gaussian Mixture Models With Its Applications to Clustering},
  author = {So Hirai and Kenji Yamanishi},
  year = {2013},
  doi = {10.1109/TIT.2013.2276036},
  url = {http://dx.doi.org/10.1109/TIT.2013.2276036},
  researchr = {https://researchr.org/publication/HiraiY13},
  cites = {0},
  citedby = {0},
  journal = {IEEE Transactions on Information Theory},
  volume = {59},
  number = {11},
  pages = {7718-7727},
}