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Old 03-19-2016, 08:41 AM
learnmlsam learnmlsam is offline
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Join Date: Mar 2016
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Default Equation 1.3

I understand from the equation 1.3 that on every iteration we are improving the line that will act as a classifier. This line is defined by the weights and we are improving the weights. So we take the last known weights W(t) and add y(t)X(t) to it to get the new and better weights W(t+1)

What I don't understand is how did we compute that the increase in W(t) to get W(t+1) should be y(t)X(t) ?

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