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Mathematics, 15.12.2021 14:00 freedygotmoney

GENERAL REGRESSION PROBLEM We are given n sampling times x1, . ,xn and n corresponding targets y1, . ,yn. For each i , we define a radial function: Ф_i (x) = exp(- \frac{(x-xi)^{2}}{r^{2} } )
The regression model is defined as the function y(x, w) =∑ is a vector of weights to be determined.
We assume that the targets are related to the model by an additive noise e_i as follows:
yi = y(xi ,ω)+ei .
The noise samples are assumed to be independent and identically distributed as N (0,σ^2).


^{n} _{i=1} w_{i} Фx_{i} (x)
GENERAL REGRESSION PROBLEM

We are given n sampling times x1, .... ,xn and n corresponding targets

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GENERAL REGRESSION PROBLEM We are given n sampling times x1, . ,xn and n corresponding targets y1,...
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