Instance Ranking and Numerosity Reduction Using Matrix Decomposition and Subspace Learning
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-18305-9_13
Reference27 articles.
1. Arnaiz-González, Á., Díez-Pastor, J.F., Rodríguez, J.J., García-Osorio, C.: Instance selection of linear complexity for big data. Knowl. Based Syst. 107, 83–95 (2016)
2. Kalegele, K., Takahashi, H., Sveholm, J., Sasai, K., Kitagata, G., Kinoshita, T.: On-demand data numerosity reduction for learning artifacts. In: 2012 IEEE 26th International Conference on Advanced Information Networking and Applications (AINA), pp. 152–159. IEEE (2012)
3. Garcia, S., Derrac, J., Cano, J., Herrera, F.: Prototype selection for nearest neighbor classification: taxonomy and empirical study. IEEE Trans. Pattern Anal. Mach. Intell. 34(3), 417–435 (2012)
4. García, S., Luengo, J., Herrera, F.: Data Preprocessing in Data Mining. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-10247-4
5. Carbonera, J.L., Abel, M.: Efficient prototype selection supported by subspace partitions. In: 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 921–928. IEEE (2017)
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