Table 1.
Notation | Name | Description |
---|---|---|
P( ) | Generative model | A set of probability distributions that make up a generative model |
Q( ) | Posterior beliefs | An approximation to the probability of a variable given observed data |
H[ ] | Shannon entropy | Uncertainty (or dispersion) of a probability distribution |
E[ ] | Expectation | Expected (or average) value of a variable |
DKL[ || ] | KL-Divergence | Difference between two probability distributions |