Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains

Pablo Nascimento da Silva, Eduardo Corrêa Gonçalves, Alexandre Plastino, Alex Alves Freitas. Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains. In Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. Volume 8725 of Lecture Notes in Computer Science, pages 453-468, Springer, 2014. [doi]

@inproceedings{SilvaGPF14,
  title = {Distinct Chains for Different Instances: An Effective Strategy for Multi-label Classifier Chains},
  author = {Pablo Nascimento da Silva and Eduardo Corrêa Gonçalves and Alexandre Plastino and Alex Alves Freitas},
  year = {2014},
  doi = {10.1007/978-3-662-44851-9_29},
  url = {http://dx.doi.org/10.1007/978-3-662-44851-9_29},
  researchr = {https://researchr.org/publication/SilvaGPF14},
  cites = {0},
  citedby = {0},
  pages = {453-468},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II},
  editor = {Toon Calders and Floriana Esposito and Eyke Hüllermeier and Rosa Meo},
  volume = {8725},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-662-44850-2},
}