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- W4360976675 abstract "Abstract In the context of product innovation, there is an emerging trend to use Machine Learning (ML) models with the support of Design Of Experiments (DOE). The paper aims firstly to review the most suitable designs and ML models to use jointly in an Active Learning (AL) approach; it then reviews ALPERC, a novel AL approach, and proves the validity of this method through a case study on amorphous metallic alloys, where this algorithm is used in combination with a Random Forest model." @default.
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- W4360976675 date "2023-03-26" @default.
- W4360976675 modified "2023-09-25" @default.
- W4360976675 title "Design of experiments and machine learning with application to industrial experiments" @default.
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- W4360976675 doi "https://doi.org/10.1007/s00362-023-01437-w" @default.
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