A Library for Locally Weighted Projection Regression

Stefan Klanke, Sethu Vijayakumar, Stefan Schaal

MLOSS 2008 pp. 623-626

/mloss/2008/klanke2008jmlr-library/

Abstract

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.

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Text

Klanke et al. "A Library for Locally Weighted Projection Regression." Machine Learning Open Source Software, 2008.

Markdown

[Klanke et al. "A Library for Locally Weighted Projection Regression." Machine Learning Open Source Software, 2008.](https://mlanthology.org/mloss/2008/klanke2008jmlr-library/)

BibTeX

@article{klanke2008jmlr-library,
  title     = {{A Library for Locally Weighted Projection Regression}},
  author    = {Klanke, Stefan and Vijayakumar, Sethu and Schaal, Stefan},
  journal   = {Machine Learning Open Source Software},
  year      = {2008},
  pages     = {623-626},
  volume    = {9},
  url       = {https://mlanthology.org/mloss/2008/klanke2008jmlr-library/}
}