Material Detail

Libra

Libra

This video was recorded at 27th International Conference on Machine Learning (ICML), Haifa 2010. The Libra machine learning toolkit includes implementations of a variety of algorithms for learning and inference with Bayesian networks and arithmetic circuits: Learning algorithms -- Structure learning for BNs and ACs; Chow-Liu algorithm; AC weight learning Inference algorithms - Mean field, belief propagation, Gibbs sampling, AC variable elimination, AC exact inference Libra's strength is exploiting context-specific independence (such as decision tree CPDs) to allow exact inference in models with high treewidth.

Quality

  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.