Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes

Jose Cruz, Wilson Mamani, Christian Romero, Ferdinand Pineda. Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes. In Giuseppe Nicosia, Varun Kumar Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos M. Pardalos, Giovanni Giuffrida, Renato Umeton, editors, Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II. Volume 12566 of Lecture Notes in Computer Science, pages 191-202, Springer, 2020. [doi]

@inproceedings{CruzMRP20,
  title = {Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes},
  author = {Jose Cruz and Wilson Mamani and Christian Romero and Ferdinand Pineda},
  year = {2020},
  doi = {10.1007/978-3-030-64580-9_16},
  url = {https://doi.org/10.1007/978-3-030-64580-9_16},
  researchr = {https://researchr.org/publication/CruzMRP20},
  cites = {0},
  citedby = {0},
  pages = {191-202},
  booktitle = {Machine Learning, Optimization, and Data Science - 6th International Conference, LOD 2020, Siena, Italy, July 19-23, 2020, Revised Selected Papers, Part II},
  editor = {Giuseppe Nicosia and Varun Kumar Ojha and Emanuele La Malfa and Giorgio Jansen and Vincenzo Sciacca and Panos M. Pardalos and Giovanni Giuffrida and Renato Umeton},
  volume = {12566},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-64580-9},
}