
#1




Confused on question 6.
Edit: Solved it, the story below is no longer relevant.
I'm confused about how one is supposed to calculate the score exactly. My biggest confusion seems to stem from the misunderstanding of what a 'point' is. Is a point one of the input vectors? so 101, 110 and 111 are 3 points? So then g[a], returns 1 for all three points would mean that: Code:
101  1 110  1 111  1 Code:
101  0 110  0 111  0 Code:
101  0 110  0 111  1 Code:
101  1 110  1 111  0 Code:
101  0 110  0 111  1 I'm utterly confused by the question. :/ 
#2




Re: Confused on question 6.
A point is a data point, so these are 3 points. For each possible target function, there is a number of agreements (0,1,2 or3) with your hypothesis on these 3 points. We are keeping a tally of the number of agreements as we go through all possible target functions.
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Where everyone thinks alike, no one thinks very much 
#3




Re: Confused on question 6.
Quote:
Thank you for the response, I was approaching the question completely wrong but solved it in the meantime. 
#4




Re: Confused on question 6.
You are welcome. Everyone is encouraged to ask questions, big or small.
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Where everyone thinks alike, no one thinks very much 
#5




Re: Confused on question 6.
Sorry I'm struggling a bit understanding the framework here. Maybe it's just terminology. What is the difference between a "possible target function" and a "hypothesis" ? I thought that they were equivalent, but it does not seem to be the case  a hypothesis must agree with a target function.

#6




Re: Confused on question 6.
Quote:
Hypotheses are the products of learning that try to approximate the target function. In this problem, we prescribe different learning scenarios that result in different hypotheses, then attempt to grade these hypotheses. We grade them according to how well each of them approximates the target function. The twist is that we consider all possible target functions and grade the hypothesis according to how well it approximates each of these possible targets.
__________________
Where everyone thinks alike, no one thinks very much 
#7




Re: Confused on question 6.
Thank you  I understand now. For some reason it took me a leap to figure out how to build the "target function" such that it could be measured as stated in the problem. Originally, I had a list of 8 "functions"  but each function was just simply one of the 8 permutations where a permutation was an input point and a possible output.

#8




Re: Confused on question 6.
Quote:

#9




Re: Confused on question 6.
Quote:

#10




Re: Confused on question 6.
I still don't think I'm interpreting this question correctly.
For 6(d), the function described does not match the data set D. So, given that, am I correct in thinking that for hypothesis 6(d) there are zero target functions that match the hypothesis? Because, by definition, a target function must agree with the given data set D. Right? 
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