Study/Lecture - Basic
W7.L8-9. Bayesian Network - Potential Function and Clique Graph
공부해라이
2023. 6. 5. 20:50
| Potential Functions
$ P(A, B, C, D) = P(A \mid B) \cdot P(B \mid C) \cdot P(C \mid D) \cdot P(D) $
Potential function:
A function which is not a probability function yet, but once normalized it can be a probability distribution function
Potential function on nodes:
- $ \psi (a, b), \ \psi (b, c), \ \psi (c, d) $
Potential function on links:
- $ \phi (b), \ \phi (c) $
| Absorption in Clique Graph
| Simple Example of Belief Propagation
$ P(b \mid a=1, c=1) $
계산하는 과정을 Belief Propagation 을 통해 Logical 하게 도출한 결과:
$ P ( b \mid c = 1) \cdot P(c=1) \cdot P(a=1 \mid b) $
Reference
문일철 교수님 강의
https://www.youtube.com/watch?v=mnUcZbT5E28&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=47
https://www.youtube.com/watch?v=mnUcZbT5E28&list=PLbhbGI_ppZISMV4tAWHlytBqNq1-lb8bz&index=48