High-dimensional quadratic classifiers in non-sparse settings

Makoto Aoshima, Kazuyoshi Yata

We consider high-dimensional quadratic classifiers in non-sparse settings. The target of classification rules is not Bayes error rates in the context. The classifier based on the M…