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

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The algorithm maintains a running "best distance" that starts at infinity. As it walks the tree, it checks each visited point and updates the best distance if it finds something closer. Before recursing into a child node, it checks whether the closest possible point in that child's bounding box is farther than the current best. If so, the entire subtree gets pruned.,推荐阅读爱思助手下载最新版本获取更多信息

63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54,详情可参考heLLoword翻译官方下载

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