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Inference is
difficult in directed models of time
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series if we use distributed representations in
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the hidden units.
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So people tend to
avoid distributed
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representations
and use much weaker methods
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(e.g. HMM’s) that
are based on the idea that
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each visible
frame of data has a single cause
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(e.g. it came
from one hidden state of the HMM)
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