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• W3136522883 endingPage "050705" @default.
• W3136522883 startingPage "050705" @default.
• W3136522883 abstract "Accelerating materials discovery crucially relies on strategies that efficiently sample the search space to label a pool of unlabeled data. This is important if the available labeled data sets are relatively small compared to the unlabeled data pool. Active learning with efficient sampling methods provides the means to guide the decision making to minimize the number of experiments or iterations required to find targeted properties. We review here different sampling strategies and show how they are utilized within an active learning loop in materials science." @default.
• W3136522883 created "2021-03-29" @default.
• W3136522883 creator A5026902132 @default.
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• W3136522883 date "2021-05-01" @default.
• W3136522883 modified "2023-10-14" @default.
• W3136522883 title "Efficient sampling for decision making in materials discovery*" @default.
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• W3136522883 doi "https://doi.org/10.1088/1674-1056/abf12d" @default.
• W3136522883 hasPublicationYear "2021" @default.
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