Interpolation Kernel Machines: Reducing Multiclass to Binary

Author:

Zhang Jiaqi,Liu Cheng-Lin,Jiang Xiaoyi

Publisher

Springer Nature Switzerland

Reference29 articles.

1. Aguilar-Ruiz, J.S., Michalak, M.: Multiclass classification performance curve. IEEE Access 10, 68915–68921 (2022)

2. Allwein, E.L., Schapire, R.E., Singer, Y.: Reducing multiclass to binary: a unifying approach for margin classifiers. J. Mach. Learn. Res. 1, 113–141 (2000)

3. Belkin, M.: Fit without fear: remarkable mathematical phenomena of deep learning through the prism of interpolation. Acta Numer. 30, 203–248 (2021)

4. Belkin, M., Ma, S., Mandal, S.: To understand deep learning we need to understand kernel learning. In: Proceedings of 35th ICML, pp. 540–548 (2018)

5. Beygelzimer, A., Daumé III, H.D., Langford, J., Mineiro, P.: Learning reductions that really work. Proc. IEEE 104(1), 136–147 (2016)

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