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FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning
  Algorithm for Multi-Category Classification of Mixed Data
v1v2v3 (latest)

FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data

14 February 2022
Huaduo Wang
Farhad Shakerin
Gopal Gupta
ArXiv (abs)PDFHTML

Papers citing "FOLD-RM: A Scalable, Efficient, and Explainable Inductive Learning Algorithm for Multi-Category Classification of Mixed Data"

2 / 2 papers shown
Title
Logic-Based Explainability in Machine Learning
Logic-Based Explainability in Machine Learning
Sasha Rubin
LRMXAI
137
40
0
24 Oct 2022
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with
  Scalable Explainability
FOLD-SE: An Efficient Rule-based Machine Learning Algorithm with Scalable Explainability
Huaduo Wang
Gopal Gupta
124
14
0
16 Aug 2022
1