Uncertainty in machine learning models stems from multiple sources, including inherent randomness or noise in the data, limitations imposed by the choice of model architecture and parameters, and inductive assumptions made during the learning process, as cited in reference [57].

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

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

Referenced by nodes (1)

• machine learning concept