Journal of the Royal Statistical Society. Seriesâ€¦

2012

For high-dimensional classification, it is well known that naively performing the Fisher discriminant rule leads to poor results due to diverging spectra and noise accumulation. Therefore,â€¦ (More)

We propose a high dimensional classification method that involves nonparametric feature augmentation. Knowing that marginal density ratios are the most powerful univariate classifiers, we use theâ€¦ (More)

In statistics and machine learning, classification studies how to automatically learn to make good qualitative predictions (i.e., assign class labels) based on past observations. Examples ofâ€¦ (More)

When people in a society want to make inference about some parameter, each person may want to use data collected by other people. Information (data) exchange in social networks is usually costly, soâ€¦ (More)

BodyAvatar is allows users without professional skills to create freeform 3D based 3D modeling tools, BodyAvatar center first treats their own body as a physi avatar performs gestures to their ownâ€¦ (More)

In many binary classification applications, such as disease diagnosis and spam detection, practitioners commonly face the need to limit type I error (that is, the conditional probability ofâ€¦ (More)

In many binary classification applications, such as disease diagnosis and spam detection, practitioners commonly face the need to limit type I error (i.e., the conditional probability ofâ€¦ (More)

Let (X,Y ) be random variables where X âˆˆ X is a vector of d features and Y âˆˆ {0, 1} represents a binary class label. A data set that contains independent observations {(xi, yi)} i=1 sampled from theâ€¦ (More)

Due to the developments of technology, high dimensional data sets are of great interest. Compared to the large amount of observations and features, the signals are usually rare and weak. It poses theâ€¦ (More)