(VL) .

Peter Zeidman1, Karl Friston1, Thomas Parr1

  • 1Wellcome Centre for Human Neuroimaging, UCL, 12 Queen Square, London WC1N 3AR, United Kingdom.

NeuroImage
|August 6, 2023
PubMed
概括

这篇文章介绍了变量拉普拉斯 (Variational Laplace,简称VL),这是一个灵活的贝叶斯推理方法,用于神经成像和其他领域. 对于没有先前机器学习经验的研究人员来说,VL简化了模型拟合,使强大的数据分析成为可能.

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