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1,545 claims from 958 papers are on the record. 46 have been checked so far; the other 1,499 have no check with a result yet.

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1 claim from 1 paper

1. Materials Science › Machine Learning in Materials Science

   A strategy to apply machine learning to small datasets in materials science

   Zhang and Ling · npj Computational Materials · 2018

   The paper studies how small materials datasets limit machine learning models, and proposes adding a crude property estimate to the features to improve predictions without raising model complexity.

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   1. UncheckedThe paper states that data size affects a model's precision only through the model's degrees of freedom, not directly, so precision and degrees of freedom become linked.“Instead of affecting the model precision directly, the effect of data size is mediated by the degree of freedom (DoF) of model, resulting in the phenomenon of association between precision and DoF.”