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10. Belief propagation and learning in convolution multi-layer factor graphs

Author

Francesco Palmieri, Amedeo Buonanno, Palmieri, Francesco A.N., Palmieri, Francesco A. N., and Buonanno, Amedeo

Subjects
Belief Propagation, Small data, Theoretical computer science, Voltage graph, Belief propagation, Deep Belief Graph, Graph, Modular decomposition, Multi layer, Factor Graph, Factor graph, Information Systems, Mathematics, Moral graph
Abstract

In modeling time series, convolution multi-layer graphs are able to capture long-term dependence at a gradually increasing scale. We present an approach to learn a layered factor graph architecture starting from a stationary latent models for each layer. Simulations of belief propagation are reported for a three-layer graph on a small data set of characters. © 2014 IEEE.

Published
2014

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