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Ive seen an unfamiliar notation of min. Min Notation:

$$\min_{i=1,\dots,N}\left|\langle w,x_i\rangle\,+\,b\right|\,=\,1.$$

What do they mean with it? Does it mean: Choose $x_i$ that $\left|\langle w,x_i\rangle\,+\,b\right|\,=\,1?$

They want me to take my $x_i$'s in a way that $|\quad|$ of the function is $1$, is that right?

That wouldn't make much sense because $x_i$ are my training examples for an algorithm. So i cant minimize them. They are fixed.

Eric Wofsey
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1 Answers1

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Most likely your decision variables are $w$ and $b$.

Choose $w$ and $b$ such that when they satisfy the condition that the smallest element of

$$\{|wx_i+b|: i = 1, \ldots, n\}$$ is equal to $1$.

Siong Thye Goh
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