2 papers
cs.LG2026
Robust Multi-View Classification under Noisy Supervision via Global Anchor Consensus
Yuliang Yang, Hongzhe Zhang, Huiru Wang
In recent years, multi-view learning has attracted increasing attention, as it integrates the complementary information of heterogeneous views. Most existing multi-view classificat…
cs.LG2026
Robust and sparse support vector machine via hybrid truncated loss for supervised classification
Yuliang Yang, Chen Chen, Yuxiang Liu +1
The support vector machine (SVM) is a widely used classifier, but choosing an appropriate loss function remains difficult. Convex losses such as the hinge loss and least-squares lo…