Hi
I am interested in knowing what happens if we try to
regress wiht SVM with noise free data. In this case ideally all the samples
should fit into the model.
If we use epsilon-SVM regression, epsilon have to be zero. But what happens
with Support vectors? If they lie outside epsilon-tube that means they do
not fall on the model developed. Does this mean that SVM regression is not
able to find the best model with noise-free data?
thank you.
Dulakshi
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