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In a directed
belief net with one hidden layer, the
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posterior over
the hidden units for each visible
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vector is
non-factorial (due to explaining away).
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The
aggregated posterior is factorial if the
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data
was generated by the directed model.
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Its
the opposite way round from an undirected
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model.
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The
intuitions that people have from using directed
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models
are very misleading for undirected models.
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