Probabilistic model of the weights

It is assumed that there is very little uncertainty in softmax weights, , learned in phase 1 due to the large dataset, . Combining this approximation with the structure of the graphical model in the preceding diagram, we can get rid of the original dataset, , and use the MAP estimate of () in the concept learning ...

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