Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models

Antonino Freno, Edmondo Trentin. Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models. Volume 15 of Intelligent Systems Reference Library, Springer, 2011. [doi]

@book{isrl-2011-15,
  title = {Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models},
  author = {Antonino Freno and Edmondo Trentin},
  year = {2011},
  doi = {10.1007/978-3-642-20308-4},
  url = {http://dx.doi.org/10.1007/978-3-642-20308-4},
  researchr = {https://researchr.org/publication/isrl-2011-15},
  cites = {0},
  citedby = {0},
  volume = {15},
  series = {Intelligent Systems Reference Library},
  publisher = {Springer},
  isbn = {978-3-642-20307-7},
}