Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space

Li, Wenye, Lee, Kin-hong, Leung, Kwong-sak

Neural Information Processing Systems 

Kernel-based regularized learning seeks a model in a hypothesis space by minimizing the empirical error and the model's complexity.

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