Applications of Regularized Least Squares to Classification Problems

Cesa-Bianchi, Nicolò

doi:10.1007/978-3-540-30215-5_2

Applications of Regularized Least Squares to Classification Problems

Nicolò Cesa-Bianchi

ALT 2004 pp. 14-18

doi:10.1007/978-3-540-30215-5_2 /alt/2004/cesabianchi2004alt-applications/

Abstract

We present a survey of recent results concerning the theoretical and empirical performance of algorithms for learning regularized least-squares classifiers. The behavior of these family of learning algorithms is analyzed in both the statistical and the worst-case (individual sequence) data-generating models.

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Text

Cesa-Bianchi. "Applications of Regularized Least Squares to Classification Problems." International Conference on Algorithmic Learning Theory, 2004. doi:10.1007/978-3-540-30215-5_2

Markdown

[Cesa-Bianchi. "Applications of Regularized Least Squares to Classification Problems." International Conference on Algorithmic Learning Theory, 2004.](https://mlanthology.org/alt/2004/cesabianchi2004alt-applications/) doi:10.1007/978-3-540-30215-5_2

BibTeX

@inproceedings{cesabianchi2004alt-applications,
  title     = {{Applications of Regularized Least Squares to Classification Problems}},
  author    = {Cesa-Bianchi, Nicolò},
  booktitle = {International Conference on Algorithmic Learning Theory},
  year      = {2004},
  pages     = {14-18},
  doi       = {10.1007/978-3-540-30215-5_2},
  url       = {https://mlanthology.org/alt/2004/cesabianchi2004alt-applications/}
}