- 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.
- Links To Paper
- 1st Link
- Bibtex format
- @Article{EDI-INF-RR-1297,
- author = {
Stefan Klanke
and Sethu Vijayakumar
and Stefan Schaal
},
- title = {A Library for Locally Weighted Projection Regression},
- journal = {Journal of Machine Learning Research},
- publisher = {Microtome Publishing},
- year = 2008,
- month = {Apr},
- volume = {9},
- pages = {623-626},
- url = {http://www.jmlr.org/papers/volume9/klanke08a/klanke08a.pdf},
- }
|
