The output of this table is used as Table 1 of the paper: Wangyan Li, Zidong Wang, Guoliang Wei, Lifeng Ma, Jun Hu, and Derui Ding, “A Survey on Multisensor Fusion and Consensus Filtering for Sensor Networks,” Discrete Dynamics in Nature and Society, vol. 2015, Article ID 683701, 12 pages, 2015. doi: 10.1155/2015/683701.
This is a table I used in the paper W. Li, G. Wei, D. Ding, Y. Liu and F. E. Alsaadi, "A New Look at Boundedness of Error Covariance of Kalman Filtering," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 2, pp. 309-314, Feb. 2018. I would like to share some LaTex codes for the table which might be helpful to some readers.
The Contextual and Numerically Augmented QANet (CNAQANet) is a QA model that builds on NAQANet in order to improve performance on arithmetic reasoning in question and answering tasks. CNAQANet is specifically trained and tested on the DROP dataset.