Locally Based Kernel PLS Regression De-noising with Application to Event-Related Potentials
暂无分享,去创建一个
The close relation of signal de-noising and regression problems dealing with the estimation of functions reflecting dependency between a set of inputs and dependent outputs corrupted with some level of noise have been employed in our approach.
[1] Roman Rosipal,et al. Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space , 2002, J. Mach. Learn. Res..
[2] Vladimir Cherkassky,et al. Signal estimation and denoising using VC-theory , 2001, Neural Networks.
[3] Vladimir Cherkassky,et al. Model complexity control for regression using VC generalization bounds , 1999, IEEE Trans. Neural Networks.
[4] Vladimir Vapnik,et al. Statistical learning theory , 1998 .