Implementing Kernel Methods Incrementally by Incremental Nonlinear Projection Trick

  • Nojun Kwak
  • Published 2016 in IEEE Transactions on Cybernetics


Recently, the nonlinear projection trick (NPT) was introduced enabling direct computation of coordinates of samples in a reproducing kernel Hilbert space. With NPT, any machine learning algorithm can be extended to a kernel version without relying on the so called kernel trick. However, NPT is inherently difficult to be implemented incrementally because an… (More)
DOI: 10.1109/TCYB.2016.2565683


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