Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets

Juan Luis Olmo, Cristóbal Romero, Eva Gibaja, Sebastián Ventura. Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets. Int. J. Computational Intelligence Systems, 8(6):1144-1164, 2015. [doi]

@article{OlmoRGV15,
  title = {Improving Meta-learning for Algorithm Selection by Using Multi-label Classification: A Case of Study with Educational Data Sets},
  author = {Juan Luis Olmo and Cristóbal Romero and Eva Gibaja and Sebastián Ventura},
  year = {2015},
  doi = {10.1080/18756891.2015.1113748},
  url = {http://dx.doi.org/10.1080/18756891.2015.1113748},
  researchr = {https://researchr.org/publication/OlmoRGV15},
  cites = {0},
  citedby = {0},
  journal = {Int. J. Computational Intelligence Systems},
  volume = {8},
  number = {6},
  pages = {1144-1164},
}