Repeated incremental pruning to produce error reduction (RIPPER)
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.