The Kernel Kalman Rule - Efficient Nonparametric Inference by Recursive Least-Squares and Subspace Projections

Cite

Text

Gebhardt et al. "The Kernel Kalman Rule - Efficient Nonparametric Inference by Recursive Least-Squares and Subspace Projections." Machine Learning, 2019. doi:10.1007/S10994-019-05816-Z

Markdown

[Gebhardt et al. "The Kernel Kalman Rule - Efficient Nonparametric Inference by Recursive Least-Squares and Subspace Projections." Machine Learning, 2019.](https://mlanthology.org/mlj/2019/gebhardt2019mlj-kernel/) doi:10.1007/S10994-019-05816-Z

BibTeX

@article{gebhardt2019mlj-kernel,
  title     = {{The Kernel Kalman Rule - Efficient Nonparametric Inference by Recursive Least-Squares and Subspace Projections}},
  author    = {Gebhardt, Gregor H. W. and Kupcsik, Andras Gabor and Neumann, Gerhard},
  journal   = {Machine Learning},
  year      = {2019},
  pages     = {2113-2157},
  doi       = {10.1007/S10994-019-05816-Z},
  volume    = {108},
  url       = {https://mlanthology.org/mlj/2019/gebhardt2019mlj-kernel/}
}