|
I'm wondering how many regression techniques are out there that can be used for non-linear regression. The first methods that come to my mind are:
Any other methods? Preferably methods that employ kernels. |
|
I'm wondering how many regression techniques are out there that can be used for non-linear regression. The first methods that come to my mind are:
Any other methods? Preferably methods that employ kernels. |
Once you sign in you will be able to subscribe for any updates here
Tags:
Asked: Aug 01 '13 at 11:26
Seen: 543 times
Last updated: Aug 02 '13 at 07:01
There are many, but something obvious which isn't on your list is neural networks.
Okay, excluding neural networks.
How about regression trees? Both random forests and boosting can produce nonlinear regressors, without necessarily using a kernel, though it is possible to boost kernel classifiers.
There's also the bayes point machine http://research.microsoft.com/apps/pubs/default.aspx?id=65611 , which is a bayesian version of support vector machines, and can be implemented as many averaged kernel perceptrons, and is easily adaptable to regression.
spline regression