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**Assignment 4, Exercise 4.2.2**

Dear all,

we were wondering about the starting point on exercise 4.2.2. We explored following two paths:

- Like in the task description: P(Mal, \neg{Men} |F), then normalisation via algorithm in slides
- Apply Bayes rule first, pack \frac{P(Mal, \neg{Men}}{P(F)} into a variable \alpha and normalize P(F|Mal,\neg{Men}) via algorithm in slides.

The first case looks weird to me, the second case is not suited for a computer algorithm and both yield different results.

So we are a bit clueless and would like to know your opinion

Thank you and kind regards,

Matthias

you’re not supposed to implement it… but:

…how so?

This would require that four cases need to be solved for the normalization. Which sounds most reasonable, now that I slept over it

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