Search Results for author:
Found 2 papers, 1 papers with code
Compressing Large Sample Data for Discriminant Analysis
Large-sample data became prevalent as data acquisition became cheaper and easier.
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring
We consider the two-group classification problem and propose a kernel classifier based on the optimal scoring framework.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
