From what I've seen, seems like the separation hyperplane must be in the form
x.w + b = 0.
I don't get very well this notation. From what I understand, x.w is a inner product, so it's result will be a scalar. How can be it that you can represent a hyperplane by a scalar + b? I'm quite confused with this.
Also, even if it was x + b ...
I do know there are some libraries that allow to use Support vector Machines from python code, but I am looking specifically for libraries that allow one to teach it online (this is, without having to give it all the data at once).
Are there any?
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I want to use SMO (Sequential Minimal Optimization) in order to train an SVM (Support Vector Machine). Can anyone suggest existing C++ libraries which implement SMO?
I plan to use this to train an SVM to find an object in a picture (probably a human).
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Hello,
In a particular application I was in need of machine learning (I know the things I studied in my undergraduate course). I used Support Vector Machines and got the problem solved. Its working fine.
Now I need to improve the system. Problems here are
I get additional training examples every week. Right now the system starts trai...