Time series models
Inference is difficult in directed models of time
series if we use non-linear distributed
representations in the hidden units.
It is hard to fit Dynamic Bayes Nets to high-
dimensional sequences (e.g motion capture
data).
So people tend to avoid distributed
representations and use much weaker methods
(e.g. HMM’s).