Constructing Sparse Kernel Machines Using Attractors

  title={Constructing Sparse Kernel Machines Using Attractors},
  author={Daewon Lee and Kyu-Hwan Jung and Jaewook Lee},
  journal={IEEE Transactions on Neural Networks},
In this brief, a novel method that constructs a sparse kernel machine is proposed. The proposed method generates attractors as sparse solutions from a built-in kernel machine via a dynamical system framework. By readjusting the corresponding coefficients and bias terms, a sparse kernel machine that approximates a conventional kernel machine is constructed. The simulation results show that the constructed sparse kernel machine improves the efficiency of testing phase while maintaining comparable… CONTINUE READING