Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation

Edmondo Trentin. Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation. In Luca Pancioni, Friedhelm Schwenker, Edmondo Trentin, editors, Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings. Volume 11081 of Lecture Notes in Computer Science, pages 178-189, Springer, 2018. [doi]

@inproceedings{Trentin18-0,
  title = {Maximum-Likelihood Estimation of Neural Mixture Densities: Model, Algorithm, and Preliminary Experimental Evaluation},
  author = {Edmondo Trentin},
  year = {2018},
  doi = {10.1007/978-3-319-99978-4_14},
  url = {https://doi.org/10.1007/978-3-319-99978-4_14},
  researchr = {https://researchr.org/publication/Trentin18-0},
  cites = {0},
  citedby = {0},
  pages = {178-189},
  booktitle = {Artificial Neural Networks in Pattern Recognition - 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19-21, 2018, Proceedings},
  editor = {Luca Pancioni and Friedhelm Schwenker and Edmondo Trentin},
  volume = {11081},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-99978-4},
}