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Bayesian Networks

1. Causal Networks

2. Static

   • Inference
     • Exact
       • Pearls Algorithm
     • Approximate
       • Belief Propagation
       • Monte Carlo Markov Chain
   • Parameters(Conditional Probility distributuions)
     • Learning Parameters
       • Maximum
   • Structure
     • Learning structure

3. Dynamic

   • HMM(Hidden Markov Models)
   • Learning Parameters
   • Learning Structure
   • inference

4. Applications