A Bayesian method for learning belief networks that contain hidden variables

@article{Cooper1995ABM,
  title={A Bayesian method for learning belief networks that contain hidden variables},
  author={Gregory F. Cooper},
  journal={Journal of Intelligent Information Systems},
  year={1995},
  volume={4},
  pages={71-88}
}
This paper presents a Bayesian method for computing the probability of a Bayesian belief-network structure from a database. In particular, the paper focuses on computing the probability of a belief-network structure that contains a hidden (latent) variable. A hidden variable represents a postulated entity that has not been directly measured. After reviewing related techniques, which previously were reported, this paper presents a new, more efficient method for handling hidden variables in… CONTINUE READING