Xingchi Chen
University of Technology, Sydney
12 Papers
3 Citations
Xingchi Chen is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Computer science & Margin (machine learning). The author has an hindex of 1, co-authored 2 publications. Previous affiliations of Xingchi Chen include Northeastern University (China).
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Papers
On removing potential redundant constraints for SVOR learning
TL;DR: Zhang et al. as discussed by the authors proposed to remove redundant constraints for SVOR learning, where the potential constraints with non-zero Lagrange multipliers are associated with the samples near the j th parallel hyperplane.
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Constraint-weighted support vector ordinal regression to resist constraint noises
Fa Zhu,Xingchi Chen,Xizhan Gao,Weidu Ye,Hai Zhao,Athanasios V. Vasilakos +5 more
TL;DR: This paper proposes constraint-weighted support vector ordinal regression (CWSVOR) to mitigate constraint noises in ordinal regression, introducing a weight vector to control constraint influence, and demonstrates its superiority over existing methods on noisy datasets.
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