BNs

Bayesian Networks

1. Static

   • Parameters(conditional Probability Distributions)
     • Known
       • mixture of Experts
     • Unknown (learning)
       • Fully observed data
         • ML
         • MAP
       • Partially observed data
         • EM
   • Structure
     • Known
     • Unknown(learning)
       • Fully observed data
         • K2-search algorithm
         • MCMC
   • Inference
     • Exact
       • Pearls algorithm
       • Junction Tree
     • Approximate
       • Loopy Belief propagation
       • MCMC

2. Dyamic

   • HMM(Hidden Markov Model)
   • State Space models

3. Causal Networks