3 citations · 5 across the 4 of their papers we have counts for
4 papers
A Safe Screening Rule with Bi-level Optimization of Support Vector Machine
Zhiji Yang, Wanyi Chen, Huan Zhang +3
Support vector machine (SVM) has achieved many successes in machine learning, especially for a small sample problem. As a famous extension of the traditional SVM, the support v…
Robust bilinear factor analysis based on the matrix-variate distribution
Xuan Ma, Jianhua Zhao, Changchun Shang +2
Factor Analysis based on multivariate distribution (fa) is a useful robust tool for extracting common factors on heavy-tailed or contaminated data. However, fa is only ap…
Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion
Jianhua Zhao, Changchun Shang, Shulan Li +2
The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size , is a popular model selection criterion for…
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data
Jianhua Zhao, Haiye Liang, Shulan Li +2
In recent years, the methods on matrix-based or bilinear discriminant analysis (BLDA) have received much attention. Despite their advantages, it has been reported that the traditio…