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.
9
questions
6
votes
3answers
168 views
Why spectral clustering results in disjointed cluster?
I'm working on a project where I have to dynamically cluster the position of objects with respect to one coordinate. So I'm essentially dealing with subsequent frames and each frame represents a one-...
3
votes
1answer
27 views
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:
$$
h_i = exp\big{(}-\frac{1}{\sigma_i^...
2
votes
1answer
205 views
RBF kernel can classify two classes as in figure?
As you can see, I have some points (belonging to red and blue class), and I would to use an RBF kernel but I think that an RBF kernel can make points linearly separable only if they are located in ...
1
vote
1answer
1k views
Computation of kernel matrix using radial basis kernel in svm
I want to compute a kernel matrix using RBF on my own. The training data is multidimensional. My query is whether we will apply
$$e^{-\gamma(x-y)^2}$$
for each dimension and then sum the values across ...
1
vote
1answer
40 views
How to use a RBF kernel to create a “Kernel Space” using the similarity of each pair of point?
I am trying to use Semi-Unsupervised clustering using reinforcement learning following this paper.
Assume I have n data-points each of which has d dimensions. I also have c pairwise constraints of ...
1
vote
0answers
45 views
Can we optimize heterogeneous parameters of RBF Network using Gradient Descent?
There're three parameters in the Radial Basis Function Networks (RBFN).
Centers of RBFs
Width of RBFs
Weights of RBFs
It's a fact that Weights can be easily updated using a simple Gradient Descent. ...
1
vote
1answer
930 views
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?
0
votes
0answers
35 views
Levenberg–Marquardt or Adam optimization
In RBF (radial basis functions)-Neural Networks, which method (Levenberg–Marquardt or Adam optimization) is more efficient for optimizing the parameters (centers, widths, and output weights) in ...
0
votes
0answers
21 views
RBF Network for classification
I want to implement RBF Network from scratch (in python) for classification problems. I get the main idea (compute centroids, RBF activation function, etc) but i don't understand how to build the ...
