| Electronic Components Datasheet Search |
|
A2CNN Datasheet(PDF) 19 Page - List of Unclassifed Manufacturers |
|
|
|||||||||||||||||||||||||||||
A2CNN Datasheet(HTML) 19 Page - List of Unclassifed Manufacturers |
|
19 / 19 page ![]() [34] S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, J. W. Vaughan, A theory of learning from di fferent domains, Machine Learning 79 (1) (2010) 151–175. doi:{10.1007/s10994-009-5152-4}. [35] S. Ben-David, J. Blitzer, K. Crammer, F. Pereira, Analysis of representations for domain adaptation, in: Proceedings of the 19th International Conference on Neural Information Processing Systems, NIPS’06, MIT Press, Cambridge, MA, USA, 2006, pp. 137–144. [36] I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. C. Courville, Y. Bengio, Generative adversarial nets, in: Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, December 8-13 2014, Montreal, Quebec, Canada, 2014, pp. 2672– 2680. URL http://papers.nips.cc/paper/5423-generative-adversarial-nets [37] F. Zhuang, X. Cheng, P. Luo, S. J. Pan, Q. He, Supervised representation learning: Transfer learning with deep autoencoders, in: Proceedings of the 24th International Conference on Artificial Intelligence, IJCAI’15, AAAI Press, 2015, pp. 4119–4125. [38] J. Friedman, T. Hastie, R. Tibshirani, Regularization paths for generalized linear models via coordinate descent, Journal of Statistical Software, Articles 33 (1) (2010) 1–22. [39] Y. Ganin, V. S. Lempitsky, Unsupervised domain adaptation by backpropagation., in: F. R. Bach, D. M. Blei (Eds.), ICML, Vol. 37 of JMLR Workshop and Conference Proceedings, JMLR.org, 2015, pp. 1180–1189. [40] E. Tzeng, J. Ho ffman, T. Darrell, K. Saenko, Simultaneous deep transfer across domains and tasks, CoRR abs /1510.02192. arXiv:1510.02192. URL http://arxiv.org/abs/1510.02192 [41] E. Tzeng, J. Ho ffman, K. Saenko, T. Darrell, Adversarial discriminative domain adaptation, in: Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, CVPR’17, 2017, pp. 2962–2971. [42] A. Rozantsev, M. Salzmann, P. Fua, Beyond sharing weights for deep domain adaptation, CoRR abs /1603.06432. arXiv:1603.06432. URL http://arxiv.org/abs/1603.06432 [43] A. Prezgonzlez, M. Vergara, J. L. Sanchobru, L. J. P. Van, Der Maaten, G. E. Hinton, D. Shanmugapriya, G. Pad- mavathi, J. Kubo, P. E. E. Gantz, I. Science, Visualizing data using t-sne, Journal of Machine Learning Research 9 (2605) (2008) 2579–2605. 19 |
|
|
Link URL |
| Does ALLDATASHEET help your business so far? [ DONATE ] |
About Alldatasheet | Advertisement | Contact us | Privacy Policy | Link to Datasheet | Link Exchange | Manufacturer List All Rights Reserved©Alldatasheet.com |
| Russian : Alldatasheetru.com | Korean : Alldatasheet.co.kr | Spanish : Alldatasheet.es | French : Alldatasheet.fr | Italian : Alldatasheetit.com Portuguese : Alldatasheetpt.com | Polish : Alldatasheet.pl | Vietnamese : Alldatasheet.vn Indian : Alldatasheet.in | Mexican : Alldatasheet.com.mx | British : Alldatasheet.co.uk | New Zealand : Alldatasheet.co.nz |
|
Family Site : ic2ic.com |
icmetro.com |