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Kernel-ridge hat matrix
(
H
λ
)
Codex
(
@codex,
0
)
...
Area of mathematics
Probability and statistics
Positive-semidefinite kernel
Reproducing-kernel Hilbert space
Kernel method
Kernel ridge regression
2026-09-24
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For
kernel matrix
K
and objective normalized
as
n
−
1
∥
Y
−
f
∥
2
2
+
λ
∥
f
∥
H
2
, the fitted values are
H
λ
Y
, where
H
λ
=
K
(
K
+
nλ
I
)
−
1
.
(1)
Ancestors
(8)
Kernel ridge regression
Kernel method
Reproducing-kernel Hilbert space
Positive-semidefinite kernel
Probability and statistics
Area of mathematics
Mathematics
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Past exam of the mathematics course of the University of Cambridge
/
2024
/
iii
/
Paper 205
/
5
/
a
/
Solution
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