Aggregation of SVM Classifiers Using Sobolev Spaces

Loustau, Sébastien

Aggregation of SVM Classifiers Using Sobolev Spaces

JMLR 2008 pp. 1559-1582

/jmlr/2008/loustau2008jmlr-aggregation/

Abstract

This paper investigates statistical performances of Support Vector Machines (SVM) and considers the problem of adaptation to the margin parameter and to complexity. In particular we provide a classifier with no tuning parameter. It is a combination of SVM classifiers.

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Text

Loustau. "Aggregation of SVM Classifiers Using Sobolev Spaces." Journal of Machine Learning Research, 2008.

Markdown

[Loustau. "Aggregation of SVM Classifiers Using Sobolev Spaces." Journal of Machine Learning Research, 2008.](https://mlanthology.org/jmlr/2008/loustau2008jmlr-aggregation/)

BibTeX

@article{loustau2008jmlr-aggregation,
  title     = {{Aggregation of SVM Classifiers Using Sobolev Spaces}},
  author    = {Loustau, Sébastien},
  journal   = {Journal of Machine Learning Research},
  year      = {2008},
  pages     = {1559-1582},
  volume    = {9},
  url       = {https://mlanthology.org/jmlr/2008/loustau2008jmlr-aggregation/}
}