[HTML][HTML] Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from such models by learning simple …
problem. We want to explain individual predictions from such models by learning simple …
Explaining individual predictions when features are dependent:: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - 2021 - dl.acm.org
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from such models by learning simple …
problem. We want to explain individual predictions from such models by learning simple …
[PDF][PDF] EXPLAINING INDIVIDUAL PREDICTIONS WHEN FEATURES ARE DEPENDENT: MORE ACCURATE APPROXIMATIONS TO SHAPLEY VALUES
K AAS, M JULLUM, A LØLAND - stat, 2019 - researchgate.net
Explaining complex or seemingly simple machine learning models is a practical and ethical
question, as well as a legal issue. Can I trust the model? Is it biased? Can I explain it to …
question, as well as a legal issue. Can I trust the model? Is it biased? Can I explain it to …
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - arXiv preprint arXiv:1903.10464, 2019 - arxiv.org
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from a complex machine learning model …
problem. We want to explain individual predictions from a complex machine learning model …
[PDF][PDF] Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - Artificial Intelligence, 2021 - martinjullum.com
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from such models by learning simple …
problem. We want to explain individual predictions from such models by learning simple …
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from a complex machine learning model …
problem. We want to explain individual predictions from a complex machine learning model …
Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - 2021 - nr.brage.unit.no
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from such models by learning simple …
problem. We want to explain individual predictions from such models by learning simple …
[引用][C] Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - 2021 - philpapers.org
Kjersti Aas, Martin Jullum & Anders Løland, Explaining individual predictions when features
are dependent: More accurate approximations to Shapley values - PhilPapers Sign in | Create …
are dependent: More accurate approximations to Shapley values - PhilPapers Sign in | Create …
[PDF][PDF] Explaining individual predictions when features are dependent: More accurate approximations to Shapley values
K Aas, M Jullum, A Løland - Artificial Intelligence, 2021 - researchgate.net
Explaining complex or seemingly simple machine learning models is an important practical
problem. We want to explain individual predictions from such models by learning simple …
problem. We want to explain individual predictions from such models by learning simple …