Mathematical Programming: Series A and B
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
Lagrangian support vector machines
The Journal of Machine Learning Research
Learning the Kernel Matrix with Semidefinite Programming
The Journal of Machine Learning Research
A tutorial on ν-support vector machines: Research Articles
Applied Stochastic Models in Business and Industry - Statistical Learning
Regularized nonsmooth Newton method for multi-class support vector machines
Optimization Methods & Software - Systems Analysis, Optimization and Data Mining in Biomedicine
| Hi-index | 0.00 |
A smoothing Newton method is given for solving the dual of the l 1 soft margin data classification problem. A new merit function was given to handle the high-dimension variables caused by data mining problems. Preliminary numerical tests show that the algorithm is very promising.