Backbone solving algorithm based on heuristic thinking-Reference-Cited by-同舟云学术

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Backbone solving algorithm based on heuristic thinking

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 3rd International Conference on Machine Learning and Soft Computing - ICMLSC 2019
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Author:

Guo Shaohua¹,He Junru¹,Song Xueting¹,Liu Weiting¹

Affiliation:

1. College of Software, Jilin University

Publisher

ACM Press

Reference13 articles.

1. A. J. Parkes. Clustering at the phase transition[C]. In Proc of the 14th AAAI, 1997, 340--345.

2. Monasson R, Zecchina R, Kirkpatrick S, et al. Determining computational complexity from characteristic 'phase transitions'[J]. Nature, 1999, 400(6740):133--137.

3. J. Marques-Silva, M. Janota, I. Lynce. On computing backbones of propositional theories[C]. In Proc of the 19th ECAI, 2010, 15--20.

4. C. S. Zhu, G. Weissenbacher, D. Sethi, et al. SAT-based techniques for determining backbonesfor post-silicon fault localisation[C]. In Proc of HLDVT, 2011, 84--91.

5. M. Janota, I. Lynce, J. Marques-Silva. Algorithms for computing backbones of propositional formulae[J]. AI Communications, 2015, 28(2): 161--177.

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