Generalization and learning rate of multi-class support vector classification and regression

DOI10.1142/S0219691322500175OpenAlexW4280616491MaRDI QIDQ5097891

Zijie Dong, Jie Xu, Yi-Chi Wang, Bin Zou, Jiawen Gong

Publication date: 1 September 2022

Published in: International Journal of Wavelets, Multiresolution and Information Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219691322500175

zbMATH Keywords

multi-class classificationlearning rate\(k\)-support vector classification-regressionMarkovian resampling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• Markov chains and stochastic stability
• Best choices for regularization parameters in learning theory: on the bias-variance problem.
• Support vector machines are universally consistent
• The generalization performance of ERM algorithm with strongly mixing observations
• Regularization networks and support vector machines
• Learning rates of regularized regression for exponentially strongly mixing sequence
• Learning rates of least-square regularized regression
• SVM Soft Margin Classifiers: Linear Programming versus Quadratic Programming
• Multicategory Support Vector Machines
• Uniform ergodicity and strong mixing
• Theory of Reproducing Kernels

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