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I am trying to calculate the dual form of an SVM optimisation problem:
Dual Form Optimsation Problem
In my algorithm, I have a vector of alphas, vector of target outputs, and a Kernel matrix computing upfront.
However, I am stuck as to what indices alpha and j should be taking here. If i and j are equal, then everything is just squared. Is this for i =/= j?
If so, could I just duplicate each vector and flip it?
Dual Form Optimsation Problem
In my algorithm, I have a vector of alphas, vector of target outputs, and a Kernel matrix computing upfront.
However, I am stuck as to what indices alpha and j should be taking here. If i and j are equal, then everything is just squared. Is this for i =/= j?
If so, could I just duplicate each vector and flip it?