Modelling the Probability Density of Markov Sources
<|reference_start|>Modelling the Probability Density of Markov Sources: This paper introduces an objective function that seeks to minimise the average total number of bits required to encode the joint state of all of the layers of a Markov source. This type of encoder may be applied to the problem of optimising the bottom-up (recognition model) and top-down (generative model) connections in a multilayer neural network, and it unifies several previous results on the optimisation of multilayer neural networks.<|reference_end|>
@article{luttrell2006modelling,
    title={Modelling the Probability Density of Markov Sources},
    author={Stephen Luttrell},
    journal={arXiv preprint arXiv:cs/0607019},
    year={2006},
    archivePrefix={arXiv},
    eprint={cs/0607019},
    primaryClass={cs.NE}
}