A Library for Locally Weighted Projection Regression

Stefan Klanke, Sethu Vijayakumar, Stefan Schaal

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)623-626
Number of pages4
JournalJournal of Machine Learning Research
Publication statusPublished - Apr 2008

Keywords / Materials (for Non-textual outputs)

  • regression
  • local learning
  • online learning
  • C
  • Matlab
  • C++
  • Octave
  • Python


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