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An Accelerator for Rule Induction in Fuzzy Rough Theory

An Accelerator for Rule Induction in Fuzzy Rough Theory

Suyun Zhao
Zhi-Gang Dai
Xizhao Wang
Peng Ni
Hengheng Luo
Hong Chen
Cuiping Li
ArXiv (abs)PDFHTML

Papers citing "An Accelerator for Rule Induction in Fuzzy Rough Theory"

3 / 3 papers shown
Title
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
CFM-BD: a distributed rule induction algorithm for building Compact Fuzzy Models in Big Data classification problems
M. Elkano
J. Sanz
E. Barrenechea
H. Bustince
M. Galar
21
35
0
25 Feb 2019
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAIFaML
402
3,798
0
28 Feb 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
16,990
0
16 Feb 2016

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