Incremental Local Gaussian Regression

NeurIPS 2014 Franziska MeierPhilipp HennigStefan Schaal

Locally weighted regression (LWR) was created as a nonparametric method that can approximate a wide range of functions, is computationally efficient, and can learn continually from very large amounts of incrementally collected data. As an interesting feature, LWR can regress on non-stationary functions, a beneficial property, for instance, in control problems... (read more)

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