Web: http://arxiv.org/abs/2206.07295

June 16, 2022, 1:10 a.m. | Huaduo Wang, Gopal Gupta

cs.LG updates on arXiv.org arxiv.org

FOLD-R++ is a new inductive learning algorithm for binary classification
tasks. It generates an (explainable) normal logic program for mixed type
(numerical and categorical) data. We present a customized FOLD-R++ algorithm
with the ranking framework, called FOLD-TR, that aims to rank new items
following the ranking pattern in the training data. Like FOLD-R++, the FOLD-TR
algorithm is able to handle mixed-type data directly and provide native
justification to explain the comparison between a pair of items.

algorithm arxiv learning lg scalable

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