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A2CNN Datasheet(PDF) 18 Page - List of Unclassifed Manufacturers |
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A2CNN Datasheet(HTML) 18 Page - List of Unclassifed Manufacturers |
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18 / 19 page ![]() [8] W. Xiong, J. Droppo, X. Huang, F. Seide, M. Seltzer, A. Stolcke, D. Yu, G. Zweig, The microsoft 2016 conversa- tional speech recognition system, in: Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on, IEEE, 2017, pp. 5255–5259. [9] Y. Zhang, W. Chan, N. Jaitly, Very deep convolutional networks for end-to-end speech recognition, in: Acoustics, Speech and Signal Processing (ICASSP), 2017 IEEE International Conference on, IEEE, 2017, pp. 4845–4849. [10] F. Jia, Y. Lei, J. Lin, X. Zhou, N. Lu, Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data, Mechanical Systems and Signal Processing 72 (2016) 303 – 315. doi:http://dx.doi.org/10.1016/j.ymssp.2015.10.025. [11] Z. Huijie, R. Ting, W. Xinqing, Z. You, F. 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Shimodaira, Improving predictive inference under covariate shift by weighting the log-likelihood function, Jour- nal of Statistical Planning and Inference 90 (2) (2000) 227 – 244. [31] M. Sugiyama, T. Suzuki, S. Nakajima, H. Kashima, P. von B¨unau, M. Kawanabe, Direct importance estimation for covariate shift adaptation, Annals of the Institute of Statistical Mathematics 60 (4) (2008) 699–746. [32] J. Huang, A. J. Smola, A. Gretton, K. M. Borgwardt, B. Scholkopf, Correcting sample selection bias by unlabeled data, in: Proceedings of the 19th International Conference on Neural Information Processing Systems, MIT Press, Cambridge, MA, USA, 2006, pp. 601–608. [33] B. Zadrozny, Learning and evaluating classifiers under sample selection bias, in: Proceedings of the 21st Interna- tional Conference on Machine Learning, ACM, New York, NY, USA, 2004, pp. 114–122. 18 |
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