Systems

• BUGS - Bayesian inference Using Gibbs Sampling

  • Assumes fixed structure
  • No restrictions on the distribution families
  • Relies on Markov Chain Montecarlo Methods for inference
  • www.mrc-bsu.com.ac.uk/bugs

• AutoClass - Unsupervised Bayesian classification

  • Assumes a naïve Bayes structure with hidden variable at the root representing the classes
  • Extensive library of distribution families.
  • ack.arc.nasa.gov/ic/projects/bayes-group/group/autoclass/

Previous slide

Next slide

Back to first slide

View graphic version