Zhi-Xia Yang

collaborators

2 papers

cs.IR2024

Robust kernel-free quadratic surface twin support vector machine with capped $L_{1}$ -norm distance metric

Qi Si, Zhi Xia Yang

Twin support vector machine (TSVM) is a very classical and practical classifier for pattern classification. However, the traditional TSVM has two limitations. Firstly, it uses the…

math.OC2024

Nonlinear kernel-free quadratic hyper-surface support vector machine with 0-1 loss function

Mingyang Wu, Zhixia Yang, Junyou Ye

For the binary classification problem, a novel nonlinear kernel-free quadratic hyper-surface support vector machine with 0-1 loss function (QSSVM $_{0/1}$ ) is proposed. Specifically…

Robust kernel-free quadratic surface twin support vector machine with capped L1​-norm distance metric

Nonlinear kernel-free quadratic hyper-surface support vector machine with 0-1 loss function

Robust kernel-free quadratic surface twin support vector machine with capped $L_{1}$ -norm distance metric