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  • Authors' Reply to the Comments by Kamata et al.

    Bo ZHOU  Benhui CHEN  Jinglu HU  

     
    WRITTEN DISCUSSION

      Pubricized:
    2023/05/08
      Vol:
    E106-A No:11
      Page(s):
    1446-1449

    We thank Kamata et al. (2023) [1] for their interest in our work [2], and for providing an explanation of the quasi-linear kernel from a viewpoint of multiple kernel learning. In this letter, we first give a summary of the quasi-linear SVM. Then we provide a discussion on the novelty of quasi-linear kernels against multiple kernel learning. Finally, we explain the contributions of our work [2].