Methods › General › Non-Parametric Regression
Non-Parametric Regression
The archive attaches this collection's text per method and the copies differ: 2 distinct texts across 9 of the 9 methods here. All are shown, most-carried first (a tie goes to the text carrying Papers with Code's collection boilerplate, then to the longer text); no vote is taken between them.
Text 1, carried by 6 of 9 methods:
Non-Parametric Regression methods are a type of regression where we use non-parametric methods to approximate the functional form of the relationship. Below you can find a continuously updating list of non-parametric regression methods.
Text 2, carried by 3 of 9 methods:
Non-Parametric Classification methods perform classification where we use non-parametric methods to approximate the functional form of the relationship. Below you can find a continuously updating list of non-parametric classification methods.
Methods
All 9 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| Gaussian Process | – | 2,473 |
| SVM Support Vector Machine | – | 1,823 |
| k-NN k-Nearest Neighbors | – | 192 |
| GAM Generalized additive models | – | 57 |
| Energy Based Process | – | 2 |
| Hybrid AWT Hybrid Air-Water Temperature Difference | – | 2 |
| MFEC Model-Free Episodic Control | – | 2 |
| Calculation of Price Graphs Reversal Point Using Average Regression Lines Method | – | 1 |
| Non-Linear-Bounding-Function Lower Bound on Transmission Using Non-Linear Bounding Function in Single Image Dehazing | – | 1 |