Alexandros Karatzoglou, Alex Smola, Achim Zeileis and Kurt Hornik
svlab -- A Kernel Methods Package
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svlab is an extensible, object oriented, package for kernel based learning in
R. Its main objective is to provide a tool kit consisting of basic kernel
functionality, optimizers and high level algorithms such as Support Vector
Machines and Kernel Principal Component Analysis which can be extended by the
user in a very modular way. Based on this infrastructure kernel-based methods
can be easily be constructed and developed.