INF2D: 24: Approximate Inference in Bayesian Network
This folder presents several alternative methods for doing approximate inference in Bayesian Networks.
Lecture Slides
Lecture Slides (Last Year's Notes Version)
Required Reading
R&N Section 14.5 or NIE Chapter (14) "Probabilistic Reasoning", Section 5.
NOTE: The abbreviation R&N refers to:
“Artificial Intelligence: A Modern Approach” Third Edition, Russell R & Norvig P, Prentice Hall, 2010 (R&N).
The abbreviation NIE stands for the following edition of the same book:
“Artificial Intelligence: A Modern Approach” Third Edition, Pearson New International Edition, Russell R & Norvig P, Pearson, 2014.
Quiz 25: Approximate Inference in Bayesian Networks
These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade. Some questions require a text answer. You can ask for formative feedback on these from your tutor or on piazza. Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.
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