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).