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Exponential classification risk
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For labels
Y
∈
{
−
1
,
1
}
and a real-valued score
f
, the exponential loss is
ϕ
(
Y
f
(
X
))
=
e
−
Y
f
(
X
)
. Its population and empirical risks are
R
ϕ
(
f
)
=
E
[
e
−
Y
f
(
X
)
]
,
R
ϕ
(
f
)
=
n
1
∑
i
=
1
n
e
−
Y
i
f
(
X
i
)
.
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AdaBoost
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