Corpus ID: 207779885

Optimizing class partitioning in multi-class classification using a descriptive control language.

@article{Mills2018OptimizingCP,
  title={Optimizing class partitioning in multi-class classification using a descriptive control language.},
  author={Peter Mills},
  journal={arXiv: Machine Learning},
  year={2018}
}
  • Peter Mills
  • Published 2018
  • Mathematics, Computer Science
  • arXiv: Machine Learning
  • Many of the best statistical classification algorithms are binary classifiers, that is they can only distinguish between one of two classes. The number of possible ways of generalizing binary classification to multi-class increases exponentially with the number of classes. There is some indication that the best method of doing so will depend on the dataset. As such, we are particularly interested in data-driven solution design, whether based on prior considerations or on empirical examination… CONTINUE READING

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