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2008 JMLR JMLR 2008

A Library for Locally Weighted Projection Regression

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. [abs] [ pdf ][ bib ] [ code ] © JMLR 2008. (edit, beta)

🐣 Hot Topic Early Bird - high-dimensional data

Authors

Stefan Klanke, Sethu Vijayakumar, Stefan Schaal

Topics

Machine Learning > Core Methods > Regression Machine Learning > Learning Types > Supervised Learning

Keywords

function approximation supervised learning high-dimensional data locally weighted regression
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