I am trying to understand how exactly 3dSVM produces its activation maps. In the documentation for 3dsvm, it mentions that it outputs the sum of the weighted linear support vectors. However, it does not specify how it exactly weights the linear support vectors themselves. In the LaConte paper referenced in the documentation, it was based off the distance from the margin, but the exacting weighting function used was not specified either. Can someone shine some light onto the weighting function that the program uses? Thank you so much!
