Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability

Takafumi Kanamori. Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability. In Marcus Hutter, Rocco A. Servedio, Eiji Takimoto, editors, Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings. Volume 4754 of Lecture Notes in Computer Science, pages 358-372, Springer, 2007. [doi]

@inproceedings{Kanamori07:0,
  title = {Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability},
  author = {Takafumi Kanamori},
  year = {2007},
  doi = {10.1007/978-3-540-75225-7_29},
  url = {http://dx.doi.org/10.1007/978-3-540-75225-7_29},
  researchr = {https://researchr.org/publication/Kanamori07%3A0},
  cites = {0},
  citedby = {0},
  pages = {358-372},
  booktitle = {Algorithmic Learning Theory, 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings},
  editor = {Marcus Hutter and Rocco A. Servedio and Eiji Takimoto},
  volume = {4754},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-75224-0},
}