The posterior distribution p(θ | X, Y) in Bayesian Neural Networks is generally intractable and requires approximation methods such as Variational Inference, Laplace Approximation, or Markov Chain Monte Carlo (MCMC).

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 (1)

• Bayesian Neural Networks concept