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

· · 来源:user资讯

Like all such hypoxia-addled-brain thoughts, it was a successful tweet.

This new approach can be used by other open-source projects.

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В Финляндии предупредили об опасном шаге ЕС против России09:28。关于这个话题,safew官方版本下载提供了深入分析

The treeboost crate beat the agent-optimized GBT crate by 4x on my first comparison test, which naturally I took offense: I asked Opus 4.6 to “Optimize the crate such that rust_gbt wins in ALL benchmarks against treeboost.” and it did just that. ↩︎

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