A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns

Goldman and Scott. "A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns." Machine Learning, 1999. doi:10.1023/A:1007681724516

[Goldman and Scott. "A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns." Machine Learning, 1999.](https://mlanthology.org/mlj/1999/goldman1999mlj-theoretical/) doi:10.1023/A:1007681724516

@article{goldman1999mlj-theoretical,
  title     = {{A Theoretical and Empirical Study of a Noise-Tolerant Algorithm to Learn Geometric Patterns}},
  author    = {Goldman, Sally A. and Scott, Stephen D.},
  journal   = {Machine Learning},
  year      = {1999},
  pages     = {5-49},
  doi       = {10.1023/A:1007681724516},
  volume    = {37},
  url       = {https://mlanthology.org/mlj/1999/goldman1999mlj-theoretical/}
}