Deep Mixtures of Factor Analysers

@article{Tang2012DeepMO,
  title={Deep Mixtures of Factor Analysers},
  author={Yichuan Tang and Ruslan R. Salakhutdinov and Geoffrey E. Hinton},
  journal={CoRR},
  year={2012},
  volume={abs/1206.4635}
}
An efficient way to learn deep density models that have many layers of latent variables is to learn one layer at a time using a model that has only one layer of latent variables. After learning each layer, samples from the posterior distributions for that layer are used as training data for learning the next layer. This approach is commonly used with Restricted Boltzmann Machines, which are undirected graphical models with a single hidden layer, but it can also be used with Mixtures of Factor… CONTINUE READING
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