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FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default
  Theories from Mixed Data
v1v2v3 (latest)

FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data

15 October 2021
Huaduo Wang
G. Gupta
ArXiv (abs)PDFHTML

Papers citing "FOLD-R++: A Scalable Toolset for Automated Inductive Learning of Default Theories from Mixed Data"

2 / 2 papers shown
Title
Building Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense Reasoning
Building Trustworthy AI by Addressing its 16+2 Desiderata with Goal-Directed Commonsense Reasoning
Alexis R. Tudor
Yankai Zeng
Huaduo Wang
Joaquín Arias
Gopal Gupta
LRM
10
0
0
15 Jun 2025
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