Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs

Edmondo Trentin, Antonino Freno. Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs. In Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain, editors, Innovations in Neural Information Paradigms and Applications. Volume 247 of Studies in Computational Intelligence, pages 155-182, Springer, 2009. [doi]

@incollection{TrentinF09-0,
  title = {Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs},
  author = {Edmondo Trentin and Antonino Freno},
  year = {2009},
  doi = {10.1007/978-3-642-04003-0_7},
  url = {http://dx.doi.org/10.1007/978-3-642-04003-0_7},
  tags = {classification, graph-rewriting, rewriting},
  researchr = {https://researchr.org/publication/TrentinF09-0},
  cites = {0},
  citedby = {0},
  pages = {155-182},
  booktitle = {Innovations in Neural Information Paradigms and Applications},
  editor = {Monica Bianchini and Marco Maggini and Franco Scarselli and Lakhmi C. Jain},
  volume = {247},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-04002-3},
}