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

· · 来源:express资讯

OsmAnd has always been about putting you in control. Our original A* routing engine, configurable via routing.xml, offered immense power. You could define intricate profiles, avoid specific road types, and truly personalize your journey. With maps optimized for minimal storage (the entire planet's car data for our new HH-routing is around a mere 800MB!), OsmAnd was a lean, mean navigating machine.

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