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Local Gaussian Regression





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

Department(s): Autonomous Motion, Probabilistic Numerics
Bibtex Type: Miscellaneous (misc)

Cross Ref: p10592
Note: clmc
URL: http://arxiv.org/abs/1402.0645

Links: Web


  title = {Local Gaussian Regression},
  author = {Meier, F. and Hennig, P. and Schaal, S.},
  booktitle = {arXiv preprint},
  month = mar,
  year = {2014},
  note = {clmc},
  crossref = {p10592},
  url = {http://arxiv.org/abs/1402.0645},
  month_numeric = {3}