1 code implementation • 30 Oct 2017 • Makoto Aoshima, Kazuyoshi Yata
We consider a distance-based classifier using eigenstructures for the SSE model.
no code implementations • 26 Feb 2017 • Yugo Nakayama, Kazuyoshi Yata, Makoto Aoshima
In this paper, we consider asymptotic properties of the support vector machine (SVM) in high-dimension, low-sample-size (HDLSS) settings.
no code implementations • 16 Mar 2015 • Makoto Aoshima, Kazuyoshi Yata
We show that they hold a consistency property in which misclassification rates tend to zero as the dimension goes to infinity under non-sparse settings.