ML Anthology

An Analysis of Inference with the Universum

Olivier Chapelle, Alekh Agarwal, Fabian H. Sinz, Bernhard Schölkopf
NeurIPS 2007 pp. 1369-1376
/neurips/2007/chapelle2007neurips-analysis/

Abstract

We study a pattern classification algorithm which has recently been proposed by Vapnik and coworkers. It builds on a new inductive principle which assumes that in addition to positive and negative data, a third class of data is available, termed the Universum. We assay the behavior of the algorithm by establishing links with Fisher discriminant analysis and oriented PCA, as well as with an SVM in a pro- jected subspace (or, equivalently, with a data-dependent reduced kernel). We also provide experimental results.

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Text

Chapelle et al. "An Analysis of Inference with the Universum." Neural Information Processing Systems, 2007.

Markdown

[Chapelle et al. "An Analysis of Inference with the Universum." Neural Information Processing Systems, 2007.](https://mlanthology.org/neurips/2007/chapelle2007neurips-analysis/)

BibTeX

@inproceedings{chapelle2007neurips-analysis,
  title     = {{An Analysis of Inference with the Universum}},
  author    = {Chapelle, Olivier and Agarwal, Alekh and Sinz, Fabian H. and Schölkopf, Bernhard},
  booktitle = {Neural Information Processing Systems},
  year      = {2007},
  pages     = {1369-1376},
  url       = {https://mlanthology.org/neurips/2007/chapelle2007neurips-analysis/}
}