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-   -   Question 2 - Method of averaging (http://book.caltech.edu/bookforum/showthread.php?t=4095)

 carpdiem 03-11-2013 12:11 AM

Question 2 - Method of averaging

Our learning algorithms return a vector of Ws, but our hypotheses are usually functions of those Ws.

Just to clarify, then, if we are averaging hypotheses, say, h1 and h2, our average hypothesis is (h1 + h2) / 2, and not (w1 + w2) / 2 plugged into our hypothesis form of h, even if, say, our h's were of some arbitrary form, say,

h(x) = exp(wT . x) / (1 + exp(wT . x))

 yaser 03-11-2013 12:44 AM

Re: Question 2 - Method of averaging

Quote:
 Originally Posted by carpdiem (Post 9864) Our learning algorithms return a vector of Ws, but our hypotheses are usually functions of those Ws. Just to clarify, then, if we are averaging hypotheses, say, h1 and h2, our average hypothesis is (h1 + h2) / 2, and not (w1 + w2) / 2 plugged into our hypothesis form of h
Correct.

 carpdiem 03-11-2013 01:02 AM

Re: Question 2 - Method of averaging

Thanks Yaser!

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