Practice Exact Inference (4.4.1) - Graphical Models & Probabilistic Inference
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Exact Inference

Practice - Exact Inference

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is variable elimination?

💡 Hint: Think about how you would reduce complexity in a calculation.

Question 2 Easy

Name one advantage of using belief propagation.

💡 Hint: Consider the structure you're dealing with.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does variable elimination aim to achieve?

Eliminate nodes
Compute probabilities
Simplify edges

💡 Hint: Think about the purpose of this method.

Question 2

Belief propagation is best suited for which types of graphs?

True
False

💡 Hint: Recall the structure in which this method is applied.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are given a small graphical model with five variables. Describe how you would apply variable elimination to compute a marginal probability.

💡 Hint: Consider the dependencies of the variables to reduce complexity.

Challenge 2 Hard

Explain a scenario where using the junction tree algorithm would be necessary instead of belief propagation.

💡 Hint: Think about how cycles complicate direct message passing.

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Reference links

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