Corpus ID: 221246386

The Canonical Interval Forest (CIF) Classifier for Time Series Classification

@article{Middlehurst2020TheCI,
  title={The Canonical Interval Forest (CIF) Classifier for Time Series Classification},
  author={Matthew Middlehurst and J. Large and Anthony J. Bagnall},
  journal={ArXiv},
  year={2020},
  volume={abs/2008.09172}
}

Matthew Middlehurst, J. Large, Anthony J. Bagnall

Published 2020

Computer Science, Engineering

ArXiv

Time series classification (TSC) is home to a number of algorithm groups that utilise different kinds of discriminatory patterns. One of these groups describes classifiers that predict using phase dependant intervals. The time series forest (TSF) classifier is one of the most well known interval methods, and has demonstrated strong performance as well as relative speed in training and predictions. However, recent advances in other approaches have left TSF behind. TSF originally summarises… CONTINUE READING

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