Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps

Rigoberto Fonseca-Delgado, Pilar Gómez-Gil. Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps. In Erzsébet Merényi, Michael J. Mendenhall, Patrick O'Driscoll, editors, Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016. Volume 428 of Advances in Intelligent Systems and Computing, pages 119-128, Springer, 2016. [doi]

@inproceedings{Fonseca-Delgado16,
  title = {Modeling Diversity in Ensembles for Time-Series Prediction Based on Self-Organizing Maps},
  author = {Rigoberto Fonseca-Delgado and Pilar Gómez-Gil},
  year = {2016},
  doi = {10.1007/978-3-319-28518-4_10},
  url = {http://dx.doi.org/10.1007/978-3-319-28518-4_10},
  researchr = {https://researchr.org/publication/Fonseca-Delgado16},
  cites = {0},
  citedby = {0},
  pages = {119-128},
  booktitle = {Advances in Self-Organizing Maps and Learning Vector Quantization - Proceedings of the 11th International Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016},
  editor = {Erzsébet Merényi and Michael J. Mendenhall and Patrick O'Driscoll},
  volume = {428},
  series = {Advances in Intelligent Systems and Computing},
  publisher = {Springer},
  isbn = {978-3-319-28517-7},
}