Updating the Model
n
Given a new data instance (
Q
:=
q, x
):
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Update
P(G,
q
G
) to get posterior P(G,
q
G
|
Q
:=
q, x
)
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P(G,
q
G
|
Q
:=
q, x
) is our new model
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A distribution over graphs and parameters
n
n
Given a model P(G,
q
G
) in principle we can obtain P
(X
®
Y)
n
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