Domain Adaptation with Maximum Margin Criterion with Application to Network Traffic Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23633-4_12
Reference20 articles.
1. Borgwardt, K.M., Gretton, A., Rasch, M.J., Kriegel, H.P., Schölkopf, B., Smola, A.J.: Integrating structured biological data by kernel maximum mean discrepancy. Bioinformatics 22(14), 49–57 (2006)
2. Callado, A., et al.: A survey on internet traffic identification. IEEE Commun. Surv. Tutorials 11(3), 37–52 (2009)
3. CireAan, D., Meier, U., Masci, J., Schmidhuber, J.: Multi-column deep neural network for traffic sign classification. Neural Netw. 32, 333–338 (2012)
4. Hu, X., Gu, C., Chen, Y., Wei, F.: TCLD-net: a transfer learning internet encrypted traffic classification scheme based on convolution neural network and long short-term memory network. In: 2021 International Conference on Communications, Computing, Cybersecurity, and Informatics (CCCI), pp. 1–5. IEEE (2021)
5. Li, D., Yuan, Q., Li, T., Chen, S., Yang, J.: Cross-domain network traffic classification using unsupervised domain adaptation. In: 2020 International Conference on Information Networking (ICOIN), pp. 245–250. IEEE (2020)
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