Repeated incremental pruning to produce error reduction (RIPPER) explained

In machine learning, repeated incremental pruning to produce error reduction (RIPPER) is a propositional rule learner proposed by William W. Cohen as an optimized version of IREP.[1]

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Notes and References

  1. Book: Agah. Arvin. Medical Applications of Artificial Intelligence. 2013. CRC Press. 9781439884331. 13 August 2017. en.

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