Quantifying Interpretability of Arbitrary Machine Learning Models Through Functional Decomposition.
Year: 2019
Type: preprint
Source: arXiv (Cornell University)
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2931933838