ML Anthology

A Note on Platt's Probabilistic Outputs for Support Vector Machines

Hsuan-Tien Lin, Chih-Jen Lin, Ruby C. Weng
MLJ 2007 pp. 267-276
doi:10.1007/S10994-007-5018-6 /mlj/2007/lin2007mlj-note/

Abstract

Platt’s probabilistic outputs for Support Vector Machines (Platt, J. in Smola, A., et al. (eds.) Advances in large margin classifiers. Cambridge, 2000 ) has been popular for applications that require posterior class probabilities. In this note, we propose an improved algorithm that theoretically converges and avoids numerical difficulties. A simple and ready-to-use pseudo code is included.

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Text

Lin et al. "A Note on Platt's Probabilistic Outputs for Support Vector Machines." Machine Learning, 2007. doi:10.1007/S10994-007-5018-6

Markdown

[Lin et al. "A Note on Platt's Probabilistic Outputs for Support Vector Machines." Machine Learning, 2007.](https://mlanthology.org/mlj/2007/lin2007mlj-note/) doi:10.1007/S10994-007-5018-6

BibTeX

@article{lin2007mlj-note,
  title     = {{A Note on Platt's Probabilistic Outputs for Support Vector Machines}},
  author    = {Lin, Hsuan-Tien and Lin, Chih-Jen and Weng, Ruby C.},
  journal   = {Machine Learning},
  year      = {2007},
  pages     = {267-276},
  doi       = {10.1007/S10994-007-5018-6},
  volume    = {68},
  url       = {https://mlanthology.org/mlj/2007/lin2007mlj-note/}
}