PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Library For Locally Weighted Projection Regression
Stefan Klanke, Sethu Vijayakumar and Stefan Schaal
Journal of Machine Learning Research 2007.

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.

EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:3433
Deposited By:Stefan Klanke
Deposited On:10 February 2008