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Found 3 papers, 1 papers with code
Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models
We consider a distance-based classifier using eigenstructures for the SSE model.
Support vector machine and its bias correction in high-dimension, low-sample-size settings
In this paper, we consider asymptotic properties of the support vector machine (SVM) in high-dimension, low-sample-size (HDLSS) settings.
High-dimensional quadratic classifiers in non-sparse settings
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.
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