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

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An important note is that the number of times a letter is highlighted from previous guesses does necessarily indicate the number of times that letter appears in the final hurdle.

Provides a large set of templates where you can input the data and the AI will generate Templates with around 10 or more options to make it easy for the user to choose.

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for (let i = 0; i < n; i++) {

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