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Probabilistic Numerics, Empirical Inference
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Abstract: Locally weighted regression was created as a nonparametric learning method that is computationally efficient, can learn from very large amounts of data and add data incrementally. An interesting feature of locally weighted regression is that it can work with ...

Author(s): Meier, F. and Hennig, P. and Schaal, S.
Book Title: arXiv preprint
Year: 2014
Month: March
Day: 4
Bibtex Type: Miscellaneous (misc)
Cross Ref: p10592
Electronic Archiving: grant_archive
Note: clmc
URL: http://arxiv.org/abs/1402.0645
Links:

BibTex

@misc{1402,
  title = {Local Gaussian Regression},
  booktitle = {arXiv preprint},
  abstract = {Abstract: Locally weighted regression was created as a nonparametric learning method that is computationally efficient, can learn from very large amounts of data and add data incrementally. An interesting feature of locally weighted regression is that it can work with ... },
  month = mar,
  year = {2014},
  note = {clmc},
  slug = {1402},
  author = {Meier, F. and Hennig, P. and Schaal, S.},
  crossref = {p10592},
  url = {http://arxiv.org/abs/1402.0645},
  month_numeric = {3}
}