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← 05-16 BN Question 1

Unit 5 16 Question

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Showing Revision 1 created 11/28/2012 by Amara Bot.

  1. So, here's a quiz.
  2. Let's assume we fit all the 23 parameters of the Bayes network
  3. as explained using maximum likelihood.
  4. Let's now do classification and see what class and message it ends up with.
  5. Let me start with a very simple message, and it contains a single word
  6. just to make it a little bit simpler.
  7. What's the probability that we classify this one word message as spam?