LFD Book Forum Question 2 - Method of averaging
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#1
03-10-2013, 11:11 PM
 carpdiem Member Join Date: Apr 2012 Posts: 16
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))
#2
03-10-2013, 11:44 PM
 yaser Caltech Join Date: Aug 2009 Location: Pasadena, California, USA Posts: 1,477
Re: Question 2 - Method of averaging

Quote:
 Originally Posted by carpdiem 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.
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#3
03-11-2013, 12:02 AM
 carpdiem Member Join Date: Apr 2012 Posts: 16
Re: Question 2 - Method of averaging

Thanks Yaser!

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