Gaussian Process Hybrid Neural Networks combine neural networks with Gaussian processes to estimate predictive uncertainty based on sample density, with the Gaussian process component providing a measure of uncertainty that increases as the test point moves further from the training data.

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)

• artificial neural networks concept
• Gaussian Process concept