Bayes%20(Belief)%20networks%20 - PowerPoint PPT Presentation

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Bayes%20(Belief)%20networks%20

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Title: CS 561a: Introduction to Artificial Intelligence Author: Paolo Pirjanian Last modified by: Hoan Created Date: 8/30/2000 3:22:35 AM Document presentation format – PowerPoint PPT presentation

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Title: Bayes%20(Belief)%20networks%20


1
Bayes (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?

2
Independence Ð?c l?p (hoàn toàn d?c l?p)
3
Conditional independence Ð?c l?p có di?u ki?n
4
Conditional independence Ð?c l?p có di?u ki?n
(ti?p)
5
Conditional independence Ð?c l?p có di?u ki?n
(ti?p)
6
Conditional 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)
7
Belief networks M?ng ni?m tin
8
Example Ví d? v? m?ng ni?m tin
9
Semantics Ng? nghia
10
Semantics Ng? nghia
11
Constructing belief networks Xây d?ng m?ng ni?m
tin
12
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18
Inference 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)
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