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In the mmdcgm, the prediction of a classifier yn=argmax( q(y|xn) ) is used as a point estimation to approximate the full posterior q(y|xn).
The question is that during the training process, what exactly the classifier is ?
Is it defined by yn=argmax( q(y|xn) ) or by a max-margin classifier: y=argmax F(y;x),
what's the relation between yn=argmax( q(y|xn) ) and a max-margin classifier: y=argmax F(y;x) ?
and when testing, which classifier to adopt?
The text was updated successfully, but these errors were encountered:
In the mmdcgm, the prediction of a classifier yn=argmax( q(y|xn) ) is used as a point estimation to approximate the full posterior q(y|xn).
The question is that during the training process, what exactly the classifier is ?
Is it defined by yn=argmax( q(y|xn) ) or by a max-margin classifier: y=argmax F(y;x),
what's the relation between yn=argmax( q(y|xn) ) and a max-margin classifier: y=argmax F(y;x) ?
and when testing, which classifier to adopt?
The text was updated successfully, but these errors were encountered: