A library for locally weighted projection regression
2008
Article
am
In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensional input data. As the key features, our code supports multi-threading, is available for multiple platforms, and provides wrappers for several programming languages.
Author(s): | Klanke, S. and Vijayakumar, S. and Schaal, S. |
Book Title: | Journal of Machine Learning Research |
Volume: | 9 |
Pages: | 623-626 |
Year: | 2008 |
Department(s): | Autonomous Motion |
Bibtex Type: | Article (article) |
Cross Ref: | p10244 |
Note: | clmc |
URL: | http://www-clmc.usc.edu/publications/k/klanke-JMLR2008.pdf |
BibTex @article{Klanke_JMLR_2008, title = {A library for locally weighted projection regression}, author = {Klanke, S. and Vijayakumar, S. and Schaal, S.}, booktitle = {Journal of Machine Learning Research}, volume = {9}, pages = {623-626}, year = {2008}, note = {clmc}, doi = {}, crossref = {p10244}, url = {http://www-clmc.usc.edu/publications/k/klanke-JMLR2008.pdf} } |