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Old 09-06-2012, 01:26 PM
rainbow rainbow is offline
Join Date: Jul 2012
Posts: 41
Default Re: RBF - distance and weights

Originally Posted by yaser View Post
2. If by distributed you mean is affected and affects different points, then yes. In slide 6, there is one \gamma, but it can be different \gamma_n's a s well.
Each point on the thick curve is a combination of N gaussians, weighted by w_i. In the general case, most of the individual contributions are 0 due to the distance metrics as specified by the basis function. If \gamma increases the method becomes even more "local", and therefore a parameter to be tuned.

I probably got confused by my own notation, where I have written that each of the 3 minor (grey) gaussians are w_i.

I hope I got it right... thanks!
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