Effect of label noise in the complexity of classification problems

@article{Garcia2015EffectOL,
  title={Effect of label noise in the complexity of classification problems},
  author={Lu{\'i}s Paulo F. Garcia and Andr{\'e} Carlos Ponce de Leon Ferreira de Carvalho and Ana Carolina Lorena},
  journal={Neurocomputing},
  year={2015},
  volume={160},
  pages={108-119}
}
Abstract Noisy data are common in real-world problems and may have several causes, like inaccuracies, distortions or contamination during data collection, storage and/or transmission. The presence of noise in data can affect the complexity of classification problems, making the discrimination of objects from different classes more difficult, and requiring more complex decision boundaries for data separation. In this paper, we investigate how noise affects the complexity of classification… CONTINUE READING
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