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» Belief Update Using Graphs
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TSP
2010
13 years 5 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ICC
2007
IEEE
145views Communications» more  ICC 2007»
14 years 5 months ago
Lowering Error Floor of LDPC Codes Using a Joint Row-Column Decoding Algorithm
Low-density parity-check codes using the beliefpropagation decoding algorithm tend to exhibit a high error floor in the bit error rate curves, when some problematic graphical stru...
Zhiyong He, Sébastien Roy 0002, Paul Fortie...
VL
2007
IEEE
14 years 5 months ago
Evaluating an Automated Tool to Assist Evolutionary Document Generation
While using how-to documents for guidance in performing computer-based tasks, users often run into problems due to inaccurate, out-of-date and incomplete documentation. These prob...
Gahgene Gweon, Lawrence D. Bergman, Vittorio Caste...
JMLR
2010
145views more  JMLR 2010»
13 years 5 months ago
Parallelizable Sampling of Markov Random Fields
Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
James Martens, Ilya Sutskever
SOCIALCOM
2010
13 years 8 months ago
On the Navigability of Social Tagging Systems
It is a widely held belief among designers of social tagging systems that tag clouds represent a useful tool for navigation. This is evident in, for example, the increasing number ...
Denis Helic, Christoph Trattner, Markus Strohmaier...