C. Alamino, Roberto, P. Neirotti, Juan and Saad, David (2013). Replication-based inference algorithms for hard computational problems. Physical Review E, 88 (1),
Abstract
Inference algorithms based on evolving interactions between replicated solutions are introduced and analyzed on a prototypical NP-hard problem: the capacity of the binary Ising perceptron. The efficiency of the algorithm is examined numerically against that of the parallel tempering algorithm, showing improved performance in terms of the results obtained, computing requirements and simplicity of implementation. © 2013 American Physical Society.
Publication DOI: | https://doi.org/10.1103/PhysRevE.88.013313 |
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Divisions: | College of Engineering & Physical Sciences > Systems analytics research institute (SARI) Aston University (General) |
Additional Information: | © 2013 American Physical Society |
Uncontrolled Keywords: | Condensed Matter Physics,Statistical and Nonlinear Physics,Statistics and Probability |
Publication ISSN: | 1550-2376 |
Last Modified: | 29 Oct 2024 12:54 |
Date Deposited: | 21 Oct 2013 11:57 |
Full Text Link: |
http://journals ... sRevE.88.013313 |
Related URLs: |
http://www.scop ... tnerID=8YFLogxK
(Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2013-07-31 |
Authors: |
C. Alamino, Roberto
(
0000-0001-8224-2801)
P. Neirotti, Juan ( 0000-0002-2409-8917) Saad, David ( 0000-0001-9821-2623) |