Local Gaussian Regression
2014
Miscellaneous
am
pn
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
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BibTex @misc{1402,
title = {Local Gaussian Regression},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {arXiv preprint},
month = mar,
year = {2014},
note = {clmc},
doi = {},
crossref = {p10592},
url = {http://arxiv.org/abs/1402.0645},
month_numeric = {3}
}
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