Pattern classification - Brain Research Imaging Centre Edinburgh

Linear classifier prediction
General equation: making predictions for a test
example x * with kernel methods
w =
N
å
i =1
a i
x i
kernel
definition
f (x *
) = w× x *
+ b
f (x *
) =
f (x *
) =
N
å
i =1
N
å
i =1
a i
x i
× x *
+ b
a i
K(x i
,x *
) + b
Primal representation
Dual representation
f(x * ) =
signed distance to boundary (classification)
predicted score (regression)