ML Anthology

Fast Kernel Classifiers with Online and Active Learning

Antoine Bordes, Seyda Ertekin, Jason Weston, Léon Bottou
JMLR 2005 pp. 1579-1619
/jmlr/2005/bordes2005jmlr-fast/

Abstract

Very high dimensional learning systems become theoretically possible when training examples are abundant. The computing cost then becomes the limiting factor. Any efficient learning algorithm should at least take a brief look at each example. But should all examples be given equal attention?

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Cite

Text

Bordes et al. "Fast Kernel Classifiers with Online and Active Learning." Journal of Machine Learning Research, 2005.

Markdown

[Bordes et al. "Fast Kernel Classifiers with Online and Active Learning." Journal of Machine Learning Research, 2005.](https://mlanthology.org/jmlr/2005/bordes2005jmlr-fast/)

BibTeX

@article{bordes2005jmlr-fast,
  title     = {{Fast Kernel Classifiers with Online and Active Learning}},
  author    = {Bordes, Antoine and Ertekin, Seyda and Weston, Jason and Bottou, Léon},
  journal   = {Journal of Machine Learning Research},
  year      = {2005},
  pages     = {1579-1619},
  volume    = {6},
  url       = {https://mlanthology.org/jmlr/2005/bordes2005jmlr-fast/}
}