X. Xia

发表

Analyzing Kernel Matrices for the Identification of Differentially Expressed Genes

Huanlai Xing, X. Liu, X. Xia, 2013, PloS one.

Methods of Decreasi n g the Number of Support Vectors via k-Mean Clustering 1

Michael R. Lyu, G. Huang, De-shuang Huang, 2005 .

Efficient Model Selection for Sparse Least-Square SVMs

Huanlai Xing, X. Liu, X. Xia, 2013 .

Enhancing Sparsity of Support Vector Machines by Ridge Regression *

Mingxing Ouyang, X. Xia, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Feasibility of a clinical chemical analysis approach to predict misuse of growth promoting hormones in cattle.

C. Elliott, X. Xia, M. Mooney, 2009, Analytical chemistry.

Improving the accuracy of detecting steroid abuse in cattle by pairwise learning of serum samples

X. Xia, 2017 .

Methods of Decreasing the Number of Support Vectors via k-Mean Clustering

Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang, 2005, ICIC.

A hierarchical multiclass support vector machine incorporated with holistic triple learning units

George W. Irwin, Kang Li, Xiao-Lei Xia, 2011, Soft Comput..

A New Score Correlation Analysis Multi-class Support Vector Machine for Microarray

Kang Li, Xiao-Lei Xia, Kang Li, 2007, 2007 International Joint Conference on Neural Networks.

Training sparse least squares support vector machines by the QR decomposition

Xiao-Lei Xia, X. Xia, 2018, Neural Networks.