I notice many questions about Baye's net and factorization in past exams, I'm not quite sure in which lecture notes I can find the explanations.
Also in the past exam 2019 question 20 I have a hard time understanding why we can't apply the same logic as in lecture notes 3
where we just used P(output| observed input) for the MLE method.
Baye's net and probability question
hi!
I notice many questions about Baye's net and factorization in past exams, I'm not quite sure in which lecture notes I can find the explanations.
Also in the past exam 2019 question 20 I have a hard time understanding why we can't apply the same logic as in lecture notes 3
where we just used P(output| observed input) for the MLE method.
![likelihood.JPG](https://oknoname-crm1.s3.amazonaws.com/spirit/images/413/c9ae41fb5b1a459cb2cfa76001827666/likelihood.jpg
Thanks for the help
Please make separate posts for separate questions. Thanks.
Please check the old questions before posting the same one twice: http://oknoname.herokuapp.com/forum/topic/485/exam-bayes-net-2019/#c3
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