On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms

Cite

Text

Shalev-Shwartz and Singer. "On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms." Machine Learning, 2010. doi:10.1007/S10994-010-5173-Z

Markdown

[Shalev-Shwartz and Singer. "On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms." Machine Learning, 2010.](https://mlanthology.org/mlj/2010/shalevshwartz2010mlj-equivalence/) doi:10.1007/S10994-010-5173-Z

BibTeX

@article{shalevshwartz2010mlj-equivalence,
  title     = {{On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms}},
  author    = {Shalev-Shwartz, Shai and Singer, Yoram},
  journal   = {Machine Learning},
  year      = {2010},
  pages     = {141-163},
  doi       = {10.1007/S10994-010-5173-Z},
  volume    = {80},
  url       = {https://mlanthology.org/mlj/2010/shalevshwartz2010mlj-equivalence/}
}