Xiao-Lei Xia

According to our database, Xiao-Lei Xia authored at least 12 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Recursive Learning Algorithm for the Least Squares SVM.

Xiao-Lei Xia, Mingxing Ouyang

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2022

Enhancing Sparsity of Support Vector Machines by Ridge Regression.

Xiao-Lei Xia, Mingxing Ouyang

Proceedings of the International Joint Conference on Neural Networks, 2022

2018

Training sparse least squares support vector machines by the QR decomposition.

Xiao-Lei Xia

Neural Networks, 2018

2013

Improving the performance of the BioHEL learning classifier system.

Xiao-Lei Xia, Huanlai Xing

Expert Syst. Appl., 2013

2012

A novel sparse least-squares support vector machine.

Xiao-Lei Xia

Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012

2011

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

Xiao-Lei Xia, Kang Li, George W. Irwin

Soft Comput., 2011

2010

Sparse learning for support vector machines with biological applications.

Xiao-Lei Xia

PhD thesis, 2010

2009

Two-stage gene selection for support vector machine classification of microarray data.

Xiao-Lei Xia, Kang Li, George W. Irwin

Int. J. Model. Identif. Control., 2009

Tree-Structured Learning of Multi-class SVMs with Triple Learning Units.

Xiao-Lei Xia, Kang Li

Proceedings of the Fifth International Conference on Natural Computation, 2009

2007

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

Xiao-Lei Xia, Kang Li

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Spectrum Analysis Based onWindows with Variable Widths for Online Signature Verification.

Zhong-Hua Quan, De-Shuang Huang, Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Methods of Decreasing the Number of Support Vectors via <i>k</i>-Mean Clustering.

Xiao-Lei Xia, Michael R. Lyu, Tat-Ming Lok, Guang-Bin Huang

Proceedings of the Advances in Intelligent Computing, 2005