Köhler, D., Rügamer, D., & Schmid, M. (2024). Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects.
Citazione stile Chigago Style (17a edizione)Köhler, David, David Rügamer, e Matthias Schmid. Achieving Interpretable Machine Learning by Functional Decomposition of Black-box Models into Explainable Predictor Effects. 2024.
Citatione MLA (9a ed.)Köhler, David, et al. Achieving Interpretable Machine Learning by Functional Decomposition of Black-box Models into Explainable Predictor Effects. 2024.
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