Search Results for author:
Found 2 papers, 2 papers with code
Multiway sparse distance weighted discrimination
We conducted extensive simulation studies, showing that our model is robust to the degree of sparsity and improves classification accuracy when the data have multiway structure.
Discriminating sample groups with multi-way data
However, their use is limited to applications where a single vector of features is measured for each subject.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
