Title: Bayes%20(Belief)%20networks%20
1Bayes (Belief) networks M?ng Bayes (hay ni?m
tin)
- Conditional independence Ð?c l?p có di?u ki?n
- Syntax and semantics Cú pháp và ng? nghia
- Exact inference - Suy di?n chính xác
- Approximate inference Suy di?n x?p x?
2Independence Ð?c l?p (hoàn toàn d?c l?p)
3Conditional independence Ð?c l?p có di?u ki?n
4Conditional independence Ð?c l?p có di?u ki?n
(ti?p)
5Conditional independence Ð?c l?p có di?u ki?n
(ti?p)
6Conditional independence Ð?c l?p có di?u ki?n
(ti?p)
P(Cavity),P(Cavity)
Cavity
Toothache
Catch
P(ToothacheCavity), P(ToothacheCavity), P(Tooth
acheCavity), P(ToothacheCavity)
P(CatchCavity), P(CatchCavity), P(CatchCavity
), P(CatchCavity)
7Belief networks M?ng ni?m tin
8Example Ví d? v? m?ng ni?m tin
9Semantics Ng? nghia
10Semantics Ng? nghia
11Constructing belief networks Xây d?ng m?ng ni?m
tin
12(No Transcript)
13(No Transcript)
14(No Transcript)
15(No Transcript)
16(No Transcript)
17(No Transcript)
18Inference in Bayes (belief) networks
- Exact inference by enumeration
- Exact inference by variable elimination
- Approximate inference by stochastic simulation
- Approximate inference by Markov chain Monte Carlo
(MCMC)