A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation. Aiguzhinov, A., Soares, C., & Serra, A. P. In Discovery Science, volume 6332, pages 16-26, Berlin, Heidelberg, 2010. Springer Berlin Heidelberg.
A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation [link]Mendeley  A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation [link]Paper  doi  bibtex   
@inproceedings{ mendeley_4360713491,
  isauthor = {1},
  isbn = {978-3-642-16183-4},
  series = {Lecture Notes in Computer Science},
  canonical_id = {f3bec980-1d58-11e1-b17d-0024e8453de6},
  added = {1322066183},
  year = {2010},
  isstarred = {1},
  id = {4360713491},
  discipline = {Economics},
  address = {Berlin, Heidelberg},
  title = {A Similarity-Based Adaptation of Naive Bayes for Label Ranking: Application to the Metalearning Problem of Algorithm Recommendation},
  editors = {Bernhard {Pfahringer} and Geoff {Holmes} and Achim {Hoffmann}},
  deletionpending = {0},
  version = {1322239666},
  type = {Conference Proceedings},
  url_mendeley = {http://www.mendeley.com//research/similarity-based-adaptation-naive-bayes-label-ranking-application-metalearning-algorithm-selection//},
  volume = {6332},
  isread = {1},
  author = {Artur {Aiguzhinov} and Carlos {Soares} and Ana Paula {Serra}},
  series = {Discovery Science},
  pages = {16-26},
  publisher = {Springer Berlin Heidelberg},
  doi = {10.1007/978-3-642-16184-1_2},
  url = {http://www.springerlink.com/content/a82078571865312k/},
  modified = {1322239666},
  citation_key = {Aiguzhinov2010},
  subdiscipline = {Quantitative Methods},
  booktitle = {Discovery Science},
  dateaccessed = {22/11/11}
}

Downloads: 0