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Titlebook: Smart Computing and Communication; Second International Meikang Qiu Conference proceedings 2018 Springer International Publishing AG 2018 a

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楼主: Adentitious
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Smart Resource Allocation Using Reinforcement Learning in Content-Centric Cyber-Physical Systems,tilizes the mechanism of reinforcement learning to obtain high accurate QoE in resource allocations. The assessments of the proposed approach were processed by both theoretical proofs and experimental evaluations.
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Impact of Probability Distribution Selection on RVFL Performance, the distribution, RVFL with the direct link from the input layer to the output layer has better performance than those without the link; (4) RVFL initialized by the distribution with larger variances generally needs more hidden nodes to achieve equivalent accuracy with ones having the smaller varia
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Research on Optimizing Last Level Cache Performance for Hybrid Main Memory,cy of last level cache utilization. It is a good way to eliminate competition between reusable and nonreusable cache lines. We also propose an improved last-level cache management scheme ILRU for the hybrid main memory which improves the cache hit ratio and minimizes write-backs to PCM. Experimental
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A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions,nd Learning to Rank (LTR) method with features such as semantic similarity, text similarity and entity popularity is utilized to extract and make full use of the information in short texts. On the official dataset of a shared QEDL evaluation task, our approach could obtain 64.44% F1 score of QED and
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Zhenzhen Liu,Qing-Quan Li,Yan Zhuang,Jiacheng Xiong,Shuiquan Li Boolean functions representing CFSM circuits. Also, we propose to use classes of pseudoequivalent states of Moore FSMs to reduce the number of product terms in these systems.The book includes a lot of examples which contributes to a better understanding of the features of the synthesis methods unde
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