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

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"We’ve done a lot to improve performance and consistency in Node streams, but there’s something uniquely powerful about starting from scratch. New streams’ approach embraces modern runtime realities without legacy baggage, and that opens the door to a simpler, performant and more coherent streams model.",这一点在同城约会中也有详细论述

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