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Updated: Feb 5, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

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分子机器学习中的不确定性校准:比较证据和组合方法

Bidhan Chandra Garain1, Max Pinheiro1, Matheus de Oliveira Bispo1

  • 1Aix Marseille University, CNRS, ICR, Marseille, France.

Chemistry (Weinheim an der Bergstrasse, Germany)
|February 4, 2026
PubMed
概括

后期校准对于量子化学中可靠的机器学习至关重要. 它从深度证据回归和深度合集中纠正错误校准的不确定性,使可靠的预测和高效的分子建模成为可能.

关键词:
深度合唱团的合唱团.机器学习是机器学习.分子模拟分子模拟专项校准后的校准.不确定性量化不确定性量化

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