Learning via variably scaled kernels-Reference-Cited by-同舟云学术

Learning via variably scaled kernels

Published:2021-06-26 Issue:4 Volume:47 Page:
ISSN:1019-7168
Container-title:Advances in Computational Mathematics
language:en
Short-container-title:Adv Comput Math

Author:

Campi C.,Marchetti F.,Perracchione E.^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s10444-021-09875-6.pdf

Reference47 articles.

1. Aggarwal, C.C.: Data Classification: Algorithms and Applications, Boca Raton, FL, USA CRC Press (2014)

2. Aminian Shahrokhabadi, M., Neisy, A., Perracchione, E., Polato, M.: Learning with subsampled kernel-based methods: Environmental and financial applications. Dolomites Res. Notes Approx. 12, 17–27 (2019)

3. Ball, K.: Eigenvalues of Euclidean distance matrices. J. Approx. Theory 68, 74–82 (1992)

4. Bartlett, P.L., Mendelson, S.: Rademacher and Gaussian complexities: risk bounds and structural results. J. Mach. Learn. Res. 3, 463–482 (2002)

5. Bhatia, R.: Matrix Analysis. Springer-Verlag, New York (1997)

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-Driven Kernel Designs for Optimized Greedy Schemes: A Machine Learning Perspective;SIAM Journal on Scientific Computing;2024-02-01

2. Learning with Partition of Unity-based Kriging Estimators;Applied Mathematics and Computation;2023-07

3. Mapped Variably Scaled Kernels: Applications to Solar Imaging;Computational Science and Its Applications – ICCSA 2023 Workshops;2023

4. Local-to-Global Support Vector Machines (LGSVMs);Pattern Recognition;2022-12

5. Variably Scaled Persistence Kernels (VSPKs) for persistent homology applications;Journal of Computational Mathematics and Data Science;2022-08