SOME METHODS OF CONSTRUCTING KERNELS IN STATISTICAL LEARNING

@article{Grecki2010SOMEMO,
  title={SOME METHODS OF CONSTRUCTING KERNELS IN STATISTICAL LEARNING},
  author={Tomasz G{\'o}recki and Maciej Łuczak},
  journal={Discussiones Mathematicae Probability and Statistics},
  year={2010},
  volume={30},
  pages={179-201}
}
This paper is a collection of numerous methods and results concern- ing a design of kernel functions. It gives a short overview of methods of building kernels in metric spaces, especially R n and S n . However we also present a new theory. Introducing kernels was motivated by searching for non-linear patterns by using linear functions in a feature space created using a non-linear feature map. 

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