Abstract / Description of output
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.
|Number of pages||4|
|Journal||Journal of Machine Learning Research|
|Publication status||Published - Apr 2008|
Keywords / Materials (for Non-textual outputs)
- local learning
- online learning