Capped L2,p-Norm Metric Based on Robust Twin Support Vector Machine with Welsch Loss
H Wang, G Yu, J Ma - Symmetry, 2023 - mdpi.com
A twin bounded support vector machine (TBSVM) is a phenomenon of symmetry that
improves the performance of the traditional support vector machine classification algorithm …
improves the performance of the traditional support vector machine classification algorithm …
Robust adaptive learning framework for semi-supervised pattern classification
J Ma, G Yu - Signal Processing, 2024 - Elsevier
Hessian scatter regularized twin support vector machine (HSR-TSVM) employs hinge loss
function and L 2-distance metric, which makes it ineffective in dealing with outliers and noise …
function and L 2-distance metric, which makes it ineffective in dealing with outliers and noise …
A novel robust generalized eigenvalue proximal support vector machine for pattern classification
W Xiong, G Yu, J Ma, S Liu - Pattern Analysis and Applications, 2024 - Springer
By minimizing the p-order of L 2-norm distance of the objection function of the improved
generalized eigenvalue proximal support vector machine (IGEPSVM), the L 2, p-LIGEPSVM …
generalized eigenvalue proximal support vector machine (IGEPSVM), the L 2, p-LIGEPSVM …
A Novel Robust Metric Distance Optimization-Driven Manifold Learning Framework for Semi-Supervised Pattern Classification
B Ma, J Ma, G Yu - Axioms, 2023 - mdpi.com
In this work, we address the problem of improving the classification performance of machine
learning models, especially in the presence of noisy and outlier data. To this end, we first …
learning models, especially in the presence of noisy and outlier data. To this end, we first …
The Prediction Method of KPIs by Using LS-TSVR
S Wang - 2022 7th International Conference on Big Data …, 2022 - ieeexplore.ieee.org
Closely monitoring service performance and making predictions of Key Performance
Indicators (KPIs) are critical for Internet-based services. However, fast yet accurate …
Indicators (KPIs) are critical for Internet-based services. However, fast yet accurate …