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Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

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Xiuling Zhou,Jing Wang,Ping Guo,C. L. Philip Chenhe new network from scratch—effectively “wasting” its earlier work on verifying the smaller network. In this paper, we present an enhancement to abstraction-based verification of neural networks, by using .: the process of utilizing information acquired when verifying an abstract network, in order t
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Hualong Huang,Bo Huang,Hongtao Lu,Huiyu Wengelationship between the complexity of the behaviour model and the accuracy of the decision tree. In particular, we highlight the impact of the norm and messenger effects, which are well-known influencers, and therefore the crucial importance to capture observations made by the agents. We demonstrate
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Xiaocheng Liu,Wei Hong,Huiqiu Lu to consistency and redundancy checking of requirements and to finding minimum cut-sets for safety analysis. We further discuss various heuristics and evaluate their efficiency, measured primarily by the number of validity queries, on a preliminary set of experiments.
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