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doi.org/10.1214/21-ss133
Review paper
Interpretable machine learning: Fundamental principles and 10 grand challenges
Cynthia Rudin
39
,
Chaofan Chen
1
,
...,
Chudi Zhong
1
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Statistics Surveys
15.40
Volume: 16
Published
: Jan 1, 2022
357
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Paper Fields
Dimensionality reduction
Curse of dimensionality
Operating system
Computer science
Reinforcement learning
Inference
Artificial intelligence
Troubleshooting
Artificial neural network
Interpretability
Machine learning
Paper Details
Title
Interpretable machine learning: Fundamental principles and 10 grand challenges
DOI
doi.org/10.1214/21-ss133
Published Date
Jan 1, 2022
Journal
Statistics Surveys
Volume
16
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History
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