Approximate Inverse Model Explanations (AIME): Unveiling Local and Global Insights in Machine Learning Models

Approximate Inverse Model Explanations (AIME): Unveiling Local and Global Insights in Machine Learning Models

Data-driven decision-making has become pervasive in the fields of interpretive machine learning and Explainable AI (XAI). While both fields aim to improve human comprehension of machine learning models, they differ in focus. Interpretive machine learning centers on deciphering outcomes in transparen...

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Bibliographic Details
Main Author: Takafumi Nakanishi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Approximate inverse models
explainable artificial intelligence (XAI)
feature importance
generalized inverse matrices
interpretability
model explanation techniques
Online Access:https://ieeexplore.ieee.org/document/10247033/

Internet

https://ieeexplore.ieee.org/document/10247033/

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