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Modelling the Probability Density of Markov Sources

Stephen Luttrell
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Abstract

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.

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Stephen Luttrell. 2006-07-06. Modelling the Probability Density of Markov Sources. https://arxiv.org/abs/cs/0607019

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