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Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects.
David Köhler
David Rügamer
Matthias Schmid
Published in:
CoRR (2024)
Keyphrases
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black box
machine learning
functional decomposition
black boxes
machine learning algorithms
white box
computational intelligence
data sets
hybrid systems
reinforcement learning
complex systems
input output
test cases
boolean functions
decision trees
integration testing
feature selection
real time