A Study of Transductive Graph-Based Regression
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64836-6_34
Reference15 articles.
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2. Cortes, C., Mohri, M.: On Transductive regression. In: Advances in Neural Information Processing Systems, pp. 305–312 (2007). https://doi.org/10.5555/2976456.2976495
3. Fahrmeir, L., Kneib, T., Lang, S., Marx, B.D.: Regression models. In: Regression: Models, Methods and Applications, pp. 23–84. Springer (2022). https://doi.org/10.1007/978-3-642-34333-9_2
4. Haykin, S.: Spectral Graph Theory, vol. 10, pp. 350–352. Prentice Hall, New York (2009). https://doi.org/10.5555/541500
5. Kraus, V., Benkabou, S., Benabdeslem, K., Cherqui, F.: An improved Laplacian semi-supervised regression. In: 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 564–570 (2018). https://doi.org/10.1109/ICTAI.2018.00092
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