Kernel Regression Algorithm: Difference between revisions

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** [[k-Nearest Neighbor Algorithm]].
** [[k-Nearest Neighbor Algorithm]].
* <B>See:</B> [[Conditional Expectation]], [[Kernel Principal Component Analysis]].
* <B>See:</B> [[Conditional Expectation]], [[Kernel Principal Component Analysis]].
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Latest revision as of 18:40, 17 September 2021

A Kernel Regression Algorithm is a non-parametric regression algorithm that can be implemented by a kernel regression system to solve a kernel regression task.



References

2017

2015

2007

  • (Weinberger & Tesauro, 2007) ⇒ K.Q. Weinberger, G. Tesauro. (2007). “Metric Learning for Kernel Regression.” In: Proceedings of International Workshop on Artificial Intelligence and Statistics.

2003

1999

1997