Practice Exact Inference - 4.4.1 | 4. Graphical Models & Probabilistic Inference | Advance Machine Learning
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is variable elimination?

πŸ’‘ Hint: Think about how you would reduce complexity in a calculation.

Question 2

Easy

Name one advantage of using belief propagation.

πŸ’‘ Hint: Consider the structure you're dealing with.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does variable elimination aim to achieve?

  • Eliminate nodes
  • Compute probabilities
  • Simplify edges

πŸ’‘ Hint: Think about the purpose of this method.

Question 2

Belief propagation is best suited for which types of graphs?

  • True
  • False

πŸ’‘ Hint: Recall the structure in which this method is applied.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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

πŸ’‘ Hint: Consider the dependencies of the variables to reduce complexity.

Question 2

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

πŸ’‘ Hint: Think about how cycles complicate direct message passing.

Challenge and get performance evaluation