A Library for Locally Weighted Projection Regression
A Library for Locally Weighted Projection Regression
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DOI：
10.5555/1390681.1390702
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
Stefan Klanke;S. Vijayakumar;S. Schaal
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文献类型：
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作者：
Stefan Klanke;S. Vijayakumar;S. Schaal
在本文中，我们介绍了局部加权投影回归（LWPR），监督学习算法，能够处理高维输入数据的改进实现。作为关键特性，我们的代码支持多线程，可用于多种平台，并为多种编程语言提供包装器。
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.