Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees

Jiri Grim, Pavel Pudil. Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees. In Kurosh Madani, Joaquim Filipe, editors, NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22 - 24 October, 2014. pages 65-75, SciTePress, 2014. [doi]

@inproceedings{GrimP14,
  title = {Pattern Recognition by Probabilistic Neural Networks - Mixtures of Product Components versus Mixtures of Dependence Trees},
  author = {Jiri Grim and Pavel Pudil},
  year = {2014},
  doi = {10.5220/0005077500650075},
  url = {http://dx.doi.org/10.5220/0005077500650075},
  researchr = {https://researchr.org/publication/GrimP14},
  cites = {0},
  citedby = {0},
  pages = {65-75},
  booktitle = {NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22 - 24 October, 2014},
  editor = {Kurosh Madani and Joaquim Filipe},
  publisher = {SciTePress},
  isbn = {978-989-758-054-3},
}