In the context of machine learning, uncertainty quantification (UQ) refers to the process of providing a measure of how much confidence a model has in its predictions or generations.

Authors

• Person: Not available Organization: Springer
  A Comprehensive Review of Neuro-symbolic AI for Robustness ...

Sources

• A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer via serper

Referenced by nodes (2)

• Uncertainty quantification concept
• machine learning concept