A Library for Locally Weighted Projection Regression

Edinburgh Research Archive

Please use this identifier to cite or link to this item: http://hdl.handle.net/1842/3665

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Title:	A Library for Locally Weighted Projection Regression
Authors:	Klanke, Stefan Vijayakumar, Sethu Schaal, Stefan
Issue Date:	2008
Journal Title:	Journal of Machine Learning Research
Volume:	9
Page Numbers:	623-626
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.
Keywords:	regression local learning online learning C Matlab C++ Octave Python
URI:	http://jmlr.csail.mit.edu/papers/volume9/klanke08a/klanke08a.pdf http://hdl.handle.net/1842/3665
ISSN:	1532-4435
Appears in Collections:	Informatics Publications