introduction  —  namespaces  —  modules  —  classes  —  files  —  globals  —  members  —  examples  —  Marc Toussaint

LWPR code

LWPR is a regresion technique mainly developed by Sethu Vijayakumar. This code is a basic implementation, coded by Narayanan Edakunni and Giorgos Petkos, cleaned up and made more efficient by myself.

When using this code, please cite

Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, "Incremental Online Learning in High Dimensions", Neural Computation, 17:12, pp. 2602-2632 (2005)

Please visit first the Lwpr Class documentation. Useful to know is also the MT::Array Class and its functions in array.h. Navigate using the top bar.

This documentation is automatically generated using.

[]