We would like to supplement this article with two more points. First, we express our views about the proposed work’s major contributions to the area of sparse functional data classification. Second, we suggest some possible future research directions and discuss ideas of generalizing the method to deal with the problem of multiclass classification for sparse functional data.
- Multiclass classification
- Robust probability estimation
- Truncated hinge loss
- Weighted multiclass SVM
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty