Support vector machine and its bias correction in high-dimension, low-sample-size settings

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. We show that the hard-margin linear SVM ho…