Robust Capped lp-Norm Support Vector Ordinal Regression

arXiv:2404.16616v1 Announce Type: new
Abstract: Ordinal regression is a specialized supervised problem where the labels show an inherent order. The order distinguishes it from normal multi-class problem. Support Vector Ordinal Regression, as an outstanding ordinal regression model, is widely used in many ordinal regression tasks. However, like most supervised learning algorithms, the design of SVOR is based on the assumption that the training data are real and reliable, which is difficult to satisfy in real-world data. In many practical applications, …

abstract algorithms arxiv class cs.lg design however labels norm normal ordinal regression robust show supervised learning support tasks type vector