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A library for locally weighted projection regression

2008

Article

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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},
  crossref = {p10244},
  url = {http://www-clmc.usc.edu/publications/k/klanke-JMLR2008.pdf}
}