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Inference is
difficult in directed models of time
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series if we use
non-linear distributed
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representations
in the hidden units.
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It
is hard to fit Dynamic Bayes Nets to high-
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dimensional
sequences (e.g motion capture
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data).
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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).
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