Re: Confused on question 6.
I just started. Not sure if forum is closed or not. I have confusion too. As I understand hypothesis set is associated with a learning algorithm. does g in choice from a to d come from same learning algorithm or description represents different algorithm? Since we have 256 possible hypothesis, I can conceptually call my learning algorithm "try all" which have all 256 possible functions as its hypothesis. Does this exercise assume we are working with "try all" algorithm?.
Thanks, 
Re: Confused on question 6.
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To answer your question, the algorithm can try all hypotheses (in the hypothesis set), but it will have to choose one and only one as the final hypothesis that it reports. When we grade the algorithm, what matters is the performance of the final hypothesis it arrived at, regardless of how it arrived at it. 
Re: Confused on question 6.
It's taking me a while to get my head around whats going on in this question and how I am supposed to calculate the scores.
For a) , the hypothesis g returns 1 for all three points. So does this mean that for each of the points 101,110 and 111 as x_n, then y_n is 1 ? If so then I am not sure what I am then supposed to compare this to? Thanks for any help. 
Re: Confused on question 6.
Thanks for the quick reply.
I've only just realised that the fact I've done very little Boolean other than knowing what the basic gates are is making this confusing for me? I did some further reading, but it's hard to find a quick summary? Sorry to be asking dumb questions but using AND, OR and NOT I get 9 possible functions instead of 8: a+b+c a+b*c a*b*c a*b+c a'b'c a'b+c a+b'c a*b'c a'b*c Is there something straight forward thats wrong about this or do I need to go and spend an evening learning these before moving on?! 
Re: Confused on question 6.
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Re: Confused on question 6.
Could you post the question in an *ANSWER* thread (see above "BEFORE posting answers  please read").

Re: Confused on question 6.
Sorry, deleted.
Will post under the correct thread. 
Re: Confused on question 6.
This is exactly what I am going to ask also :D

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