Boltzmann Chains and Hidden Markov Models

@inproceedings{Saul1994BoltzmannCA,
  title={Boltzmann Chains and Hidden Markov Models},
  author={Lawrence K. Saul and Michael I. Jordan},
  booktitle={NIPS},
  year={1994}
}
We propose a statistical mechanical framework for the modeling of discrete time series. Maximum likelihood estimation is done via Boltzmann learning in one-dimensional networks with tied weights. We call these networks Boltzmann chains and show that they contain hidden Markov models (HMMs) as a special case. Our framework also motivates new architectures that address particular shortcomings of HMMs. We look at two such architectures: parallel chains that model feature sets with disparate time… CONTINUE READING

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