To feature space and back: Identifying top-weighted features in polynomial Support Vector Machine models
Laura E. Brown, Ioannis Tsamardinos, Douglas P. Hardin · Intelligent Data Analysis · 2012
Polynomial Support Vector Machine models of degree d are linear functions in a feature space of monomials of at most degree d. However, the actual representation is stored in the form of support vectors and Lagrange multipliers that is unsuitable for