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cs.LG2026
Data-Driven Pinball-Loss Selection for Vertically Distributed Elastic-Net SVMs
Xiaofei Wu, Kai Qi, Rongmei Liang
The pinball-loss support vector machine is robust, but its asymmetry parameter is usually fixed in advance. We propose a data-driven elastic-net support vector machine that learns…
cs.LG2026
Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression
Xiaofei Wu, Rongmei Liangse
In large-scale supervised learning, penalized logistic regression (PLR) effectively mitigates overfitting through regularization, yet its performance critically depends on robust v…
cs.LG2026
Parallel Algorithms for Structured Sparse Support Vector Machines: Application in Music Genre Classification
Rongmei Liang, Zizheng Liu, Xiaofei Wu +1
Mathematical modelling, particularly through approaches such as structured sparse support vector machines (SS-SVM), plays a crucial role in processing data with complex feature str…