A Library for Locally Weighted Projection Regression

Authors:
Stefan Klanke;Sethu Vijayakumar;Stefan Schaal
Affiliations:
-;-;-
Venue:
The Journal of Machine Learning Research
Year:
2008

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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.