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Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models.
Tom Heskes
Evi Sijben
Ioan Gabriel Bucur
Tom Claassen
Published in:
CoRR (2020)
Keyphrases
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causal knowledge
causal relationships
complex systems
diagnostic knowledge
knowledge base
bayesian networks
causal independence
probabilistic model
decision makers
causal explanation
learned models
experimental data
neural network
active learning
prior knowledge
pairwise
learning algorithm
machine learning