Description Usage Arguments Value Author(s) References Examples
Computes the predictor function of a general noise SVR based on NORMA optimization.
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point |
|
t |
time parameter value indicating the iteration we want to consider. |
x |
|
alpha |
|
beta |
|
f_0 |
initial hypothesis. |
kernel |
kernel function to use. |
gamma |
gaussian kernel parameter γ. |
no_beta |
|
Returns a numeric
representing the prediction value.
Jesus Prada, jesus.prada@estudiante.uam.es
Link to the scientific paper
Kivinen J., Smola A. J., Williamson R.C.: Online learning with kernels. In: IEEE transactions on signal processing, vol. 52, pp. 2165-2176, IEEE (2004).
with theoretical background for NORMA optimization is provided below.
http://realm.sics.se/papers/KivSmoWil04(1).pdf
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Loading required package: rootSolve
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