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| Título: | Uniformly Reweighted Belief Propagation: A Factor Graph Approach |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 2011 IEEE International Symposium on Information Theory Proceedings (ISIT) |
| Fechas del Evento: | 31/07/2011 - 05/08/2011 |
| Lugar del Evento: | San Petersburgo, Rusia |
| Título del Libro: | Proceedings of 2011 IEEE International Symposium on Information Theory Proceedings (ISIT) |
| Fecha: | 2011 |
| ISBN: | 978-1-4577-0596-0 |
| Materias: | |
| ODS: | |
| Escuela: | E.T.S.I. Telecomunicación (UPM) |
| Departamento: | Señales, Sistemas y Radiocomunicaciones |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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Tree-reweighted belief propagation is a message passing method that has certain advantages compared to traditional belief propagation (BP). However, it fails to outperform BP in a consistent manner, does not lend itself well to distributed implementation, and has not been applied to distributions with higher-order interactions. We propose a method called uniformly-reweighted belief propagation that mitigates these drawbacks. After having shown in previous works that this method can substantially outperform BP in distributed inference with pairwise interaction models, in this paper we extend it to higher-order interactions and apply it to LDPC decoding, leading performance gains over BP.
| ID de Registro: | 12197 |
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| Identificador DC: | https://oa.upm.es/12197/ |
| Identificador OAI: | oai:oa.upm.es:12197 |
| URL Oficial: | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb... |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 30 Ago 2012 09:56 |
| Ultima Modificación: | 21 Abr 2016 11:24 |
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