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IEEE Transactions on Neural Networks|September 24, 2004
Analysis of switching dynamics with competing support vector machinesMing-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing WengIEEE Transactions on Neural Networks|February 5, 2008
A formal analysis of stopping criteria of decomposition methods for support vector machinesChih-Jen LinNeural Computation|August 25, 2007
Projected gradient methods for nonnegative matrix factorizationChih-Jen LinIEEE Transactions on Neural Networks|February 5, 2008
Asymptotic convergence of an SMO algorithm without any assumptionsChih-Jen LinIEEE Transactions on Neural Networks and Learning Systems|May 8, 2024
One-Class SVM Probabilistic OutputsZhongyi Que, Chih-Jen LinReproduction (Cambridge, England)|September 8, 2016
Epigenetic reprogramming of the zygote in mice and men: on your marks, get set, go!Rupsha Fraser, Chih-Jen LinIEEE Transactions on Neural Networks and Learning Systems|January 11, 2021
A Study on Truncated Newton Methods for Linear ClassificationLeonardo Galli, Chih-Jen LinIEEE Transactions on Neural Networks and Learning Systems|February 20, 2020
Parameter Selection for Linear Support Vector RegressionJui-Yang Hsia, Chih-Jen LinIEEE Transactions on Neural Networks|February 5, 2008
A study on reduced support vector machinesKuan-Ming Lin, Chih-Jen LinNeural Computation|March 9, 2013
A study on L2-loss (squared hinge-loss) multiclass SVMChing-Pei Lee, Chih-Jen LinPageof 13