Path Kernels and Multiplicative Updates

JMLR 2003 pp. 773-818

/jmlr/2003/takimoto2003jmlr-path/

Abstract

Kernels are typically applied to linear algorithms whose weight vector is a linear combination of the feature vectors of the examples. On-line versions of these algorithms are sometimes called "additive updates" because they add a multiple of the last feature vector to the current weight vector.

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Cite

Text

Takimoto and Warmuth. "Path Kernels and Multiplicative Updates." Journal of Machine Learning Research, 2003.

Markdown

[Takimoto and Warmuth. "Path Kernels and Multiplicative Updates." Journal of Machine Learning Research, 2003.](https://mlanthology.org/jmlr/2003/takimoto2003jmlr-path/)

BibTeX

@article{takimoto2003jmlr-path,
  title     = {{Path Kernels and Multiplicative Updates}},
  author    = {Takimoto, Eiji and Warmuth, Manfred K.},
  journal   = {Journal of Machine Learning Research},
  year      = {2003},
  pages     = {773-818},
  volume    = {4},
  url       = {https://mlanthology.org/jmlr/2003/takimoto2003jmlr-path/}
}