New method for solving Ivanov regularization-based support vector machine learning

Support vector machines based on convex risk functions and general norms

(2016) Jun-ya Gotoh et al.   ANNALS OF OPERATIONS RESEARCH

Tikhonov, Ivanov and Morozov regularization for support vector machine learning

(2015) Luca Oneto et al.   MACHINE LEARNING

A random coordinate descent algorithm for optimization problems with composite objective function and linear coupled constraints

(2013) Ion Necoara et al.   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

In-sample Model Selection for Trimmed Hinge Loss Support Vector Machine

(2012) Davide Anguita et al.   NEURAL PROCESSING LETTERS

Efficiency of Coordinate Descent Methods on Huge-Scale Optimization Problems

(2012) Yu. Nesterov   SIAM JOURNAL ON OPTIMIZATION

In-Sample and Out-of-Sample Model Selection and Error Estimation for Support Vector Machines

(2012) D. Anguita et al.   IEEE Transactions on Neural Networks and Learning Systems

The new interpretation of support vector machines on statistical learning theory

(2010) ChunHua Zhang et al.   Science China-Mathematics