Practice Inference in Graphical Models - 4.4 | 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 inference in the context of graphical models?

πŸ’‘ Hint: Think about the role of graphical models in uncertainty.

Question 2

Easy

Name one exact inference method.

πŸ’‘ Hint: These methods have specific characteristics.

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 method eliminates variables one by one in exact inference?

  • Junction Tree
  • Belief Propagation
  • Variable Elimination

πŸ’‘ Hint: Think about the term that indicates removal.

Question 2

True or False: Belief Propagation can only be used in cyclic graphs.

  • True
  • False

πŸ’‘ Hint: Recall how the structure of the graph impacts method efficacy.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Consider a Bayesian network that diagnoses diseases based on symptoms. If the network has high dimensional data, how would you implement approximate inference, and what methods would you consider?

πŸ’‘ Hint: Think about the implications of complexity and data size on inference.

Question 2

Explain how a junction tree algorithm can improve inference efficiency and describe the steps in constructing it from a given graph.

πŸ’‘ Hint: Imagine how converting a structure can facilitate easier processing.

Challenge and get performance evaluation