Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning

Edmondo Trentin, Marco Bongini. Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning. In Nadia Mana, Friedhelm Schwenker, Edmondo Trentin, editors, Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings. Volume 7477 of Lecture Notes in Computer Science, pages 72-81, Springer, 2012. [doi]

@inproceedings{TrentinB12,
  title = {Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning},
  author = {Edmondo Trentin and Marco Bongini},
  year = {2012},
  doi = {10.1007/978-3-642-33212-8_7},
  url = {http://dx.doi.org/10.1007/978-3-642-33212-8_7},
  researchr = {https://researchr.org/publication/TrentinB12},
  cites = {0},
  citedby = {0},
  pages = {72-81},
  booktitle = {Artificial Neural Networks in Pattern Recognition - 5th INNS IAPR TC 3 GIRPR Workshop, ANNPR 2012, Trento, Italy, September 17-19, 2012. Proceedings},
  editor = {Nadia Mana and Friedhelm Schwenker and Edmondo Trentin},
  volume = {7477},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-33211-1},
}