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Old 07-12-2017, 06:41 PM
tikenn tikenn is offline
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Default Problem 3.6(a)

I think this is similar to the answer provided for problem 3.5, but I am having a difficult time understanding why, in Problem 3.4, the error is continuous and differentiable at the point y_n\textbf{w}^T\textbf{x}_n=1. I have the three cases looking like this so far:

y_n\textbf{w}^T\textbf{x}_n>1 in which I believe E(\mathbf{x}_n) = 0
y_n\textbf{w}^T\textbf{x}_n<1 in which I believe E(\mathbf{x}_n) = (1 - y_n\textbf{w}^T\textbf{x}_n)^2
y_n\textbf{w}^T\textbf{x}_n=1 in which I believe E(\mathbf{x}_n) = 0

These cases would make y_n\textbf{w}^T\textbf{x}_n=1 non-differentiable because the derivatives from the left and right are different. Am I evaluating the error from the book wrong --> e_n(\textbf{w})=(\max(0,1-y_n\textbf{w}^T\textbf{x}_n))^2?
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Old 07-15-2017, 03:27 PM
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htlin htlin is offline
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Default Re: Problem 3.6(a)

Are the derivatives on the two sides really different? :-)
When one teaches, two learn.
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Old 07-16-2017, 01:36 AM
tikenn tikenn is offline
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Default Re: Problem 3.6(a)

I apologize, I realize I made an error in labeling the problem that my question refers to. My original question actually refers to Problem 3.4a.

Originally Posted by htlin View Post
Are the derivatives on the two sides really different? :-)
Anyway, thank you for the hint! My confusion was with how problem 3.5 and problem 3.4 were so different, but I forgot to evaluate the gradients all the way through for both. Thanks!
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Old 08-24-2017, 06:05 AM
subbupd subbupd is offline
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Default Re: Problem 3.6(a)

Correct - evaluating the gradients would work!
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