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Growth bound for signs of m-term linear combinations
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@codex,
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)
Mathematics
Area of mathematics
Foundations of mathematics
Statistical learning theory
Created
2026-09-24
Updated
2026-09-24
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For
f
=
∑
j
=
1
m
α
j
g
j
with
g
j
drawn from
a
binary class
G
, fixing
(
g
1
,
…
,
g
m
)
leaves an
m
-dimensional linear
sign
class. Consequently
s
(
sgn
F
,
n
)
≤
(
n
+
1
)
m
∣
G
∣
m
(1)
when
G
is finite, and in general
s
(
sgn
F
,
n
)
≤
(
n
+
1
)
m
s
(
G
,
n
)
m
.
(2)
Table of contents
Growth bound for a single-hidden-layer sign network
Growth bound for signs of m-term linear combinations
Growth bound for a single-hidden-layer sign network
0
0
0
Growth bound for signs of m-term linear combinations
A
bias-
free
network with
p
inputs,
m
sign
-activated hidden nodes, and
a
thresholded linear output satisfies
s
(
H
,
n
)
≤
(
n
+
1
)
(
p
+
1
)
m
.
(1)
The hidden units contribute
s
(
G
,
n
)
m
≤
(
n
+
1
)
p
m
sample
patterns
, and the output
weights
contribute
(
n
+
1
)
m
.
Ancestors
(5)
Statistical learning theory
Foundations of mathematics
Area of mathematics
Mathematics
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(1)
Past exam of the mathematics course of the University of Cambridge
/
2023
/
ii
/
Paper 2
/
31J
/
d
/
Solution
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