CPSC 340 Machine Learning Lecture 7
References
Notes
  • DAG or Bayesian Network helps us to reduce the number of parameters to be stored drastically. 
  • Store only factored joint probabilities instead of joint probabilities of all the variables.
Dependencies
  • Child node depends on Parent node, but is independent of Grand Parent node
  • Child node is independent of sibling node given a Parent node
  • Parent nodes are NOT independent given a Child node.
Markov Blankets
The Markov Blanket of a node (Xi) is the set that renders it independent of the rest of the graph. This is the parents (U), children (Y), and co-parents of children (Z).
CPSC 340 Machine Learning Lecture 8
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