Use of bias term in projection pursuit learning improves approximation and convergence properties

@article{Kwok1996UseOB,
  title={Use of bias term in projection pursuit learning improves approximation and convergence properties},
  author={James T. Kwok and Dit-Yan Yeung},
  journal={IEEE transactions on neural networks},
  year={1996},
  volume={7 5},
  pages={1168-83}
}
In a regression problem, one is given a multidimensional random vector X, the components of which are called predictor variables, and a random variable, Y, called response. A regression surface describes a general relationship between X and Y. A nonparametric regression technique that has been successfully applied to high-dimensional data is projection pursuit regression (PPR). The regression surface is approximated by a sum of empirically determined univariate functions of linear combinations… CONTINUE READING
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