Questions tagged [rbf]

Radial Basis Functions (RBFs) are a class of functions used to determine some metric of relation between an arbitrary point and a center point.

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how RBF works when the input is a very large number?

I used RBF for regression problem as below: h(X)=sum{j in M}( exp(X-Xj)^2 )/2sigma But I get error that exp(3190012) can't be evaluated. which is make sense ...
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Notation unclear - Radial Basis Funtion

In Chapter 6 (Deep Forward Networks) on Page 193 of Deep Learning they talk about the design of Hidden Units. The Radial Basis Function is introduced as follows: $$ h_i = exp\big{(}-\frac{1}{\sigma_i^...
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Computation of kernel matrix using radial basis kernel in svm

I want to compute a kernel matrix using RBF on my own. The training data is multidimensional. My query is whether we will apply $$e^{-\gamma(x-y)^2}$$ for each dimension and then sum the values across ...
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RBF kernel can classify two classes as in figure?

As you can see, I have some points (belonging to red and blue class), and I would to use an RBF kernel but I think that an RBF kernel can make points linearly separable only if they are located in ...
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RBF neural network python library/implementation

I want to use a Radial Basis Function Neural Network for my thesis. Is there any library that implements it? And in the negative case, which is the best library to implement it?