Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2000-03-07
Physics
Condensed Matter
Disordered Systems and Neural Networks
30 pages, 11 figures
Scientific paper
10.1103/PhysRevE.62.179
We consider the problems of error-correcting codes and image restoration with multiple stages of dynamics. Information extracted from the former stage can be used selectively to improve the performance of the latter one. Analytic results were derived for the mean-field systems using the cavity method. We find that it has the advantage of being tolerant to uncertainties in hyperparameter estimation, as confirmed by simulations.
Michael Wong K. Y.
Nishimori Hidetoshi
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