Dao-Hong Xiang

17 papers Journal 17
YearRankTypeTitle / Venue / Authors
2025 J jnl
Online outcome weighted learning with general loss functions.
J. Complex.
Aoli Yang, Jun Fan, Dao-Hong Xiang
2025 J jnl
Total stability of outcome weighted learning.
Math. Found. Comput.
Yuejia Sun, Dao-Hong Xiang
2021 J jnl
Comparison theorems on large-margin learning.
Int. J. Wavelets Multiresolution Inf. Process.
Amina Benabid, Jun Fan, Dao-Hong Xiang
2019 J jnl
Comparison theorems on large-margin learning.
CoRR
Jun Fan, Dao-Hong Xiang
2018 J jnl
Total stability of kernel methods.
Neurocomputing
Andreas Christmann, Dao-Hong Xiang, Ding-Xuan Zhou
2017 J jnl
Total stability of kernel methods.
CoRR
Andreas Christmann, Dao-Hong Xiang, Ding-Xuan Zhou
2016 J jnl
A short note on extension theorems and their connection to universal consistency in machine learning.
CoRR
Andreas Christmann, Florian Dumpert, Dao-Hong Xiang
2016 J jnl
Statistical consistency of coefficient-based conditional quantile regression.
J. Multivar. Anal.
Jia Cai, Dao-Hong Xiang
2013 J jnl
Conditional quantiles with varying Gaussians.
Adv. Comput. Math.
Dao-Hong Xiang
2012 J jnl
A new comparison theorem on conditional quantiles.
Appl. Math. Lett.
Dao-Hong Xiang
2012 J jnl
Approximation Analysis of Learning Algorithms for Support Vector Regression and Quantile Regression.
J. Appl. Math.
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2011 J jnl
Learning with varying insensitive loss.
Appl. Math. Lett.
Dao-Hong Xiang, Ting Hu, Ding-Xuan Zhou
2011 J jnl
Logistic classification with varying Gaussians.
Comput. Math. Appl.
Dao-Hong Xiang
2010 J jnl
Moving least-square method in learning theory.
J. Approx. Theory
Hong-Yan Wang, Dao-Hong Xiang, Ding-Xuan Zhou
2009 J jnl
Classification with Gaussians and Convex Loss.
J. Mach. Learn. Res.
Dao-Hong Xiang, Ding-Xuan Zhou
2008 J jnl
Parzen windows for multi-class classification.
J. Complex.
Zhi-Wei Pan, Dao-Hong Xiang, Quan-Wu Xiao, Ding-Xuan Zhou
2006 J jnl
The consistency of multicategory support vector machines.
Adv. Comput. Math.
Di-Rong Chen, Dao-Hong Xiang