Repeated incremental pruning to produce error reduction (RIPPER)
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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]
References
[edit]- ^ Agah, Arvin (2013). Medical Applications of Artificial Intelligence. CRC Press. ISBN 9781439884331. Retrieved 13 August 2017.