Sample-efficient active learning for materials informatics using integrated posterior variance

· · 来源:dl资讯

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For implementers, the locking model adds a fair amount of non-trivial internal bookkeeping. Every operation must check lock state, readers must be tracked, and the interplay between locks, cancellation, and error states creates a matrix of edge cases that must all be handled correctly.

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