Algorithms for Sparse Support Vector Machines
From MaRDI portal
Publication:6180740
DOI10.1080/10618600.2022.2146697arXiv2110.07691MaRDI QIDQ6180740
Unnamed Author, Kenneth L. Lange
Publication date: 22 January 2024
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2110.07691
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- SVM-Maj: a majorization approach to linear support vector machines with different hinge errors
- Distance majorization and its applications
- Multicategory vertex discriminant analysis for high-dimensional data
- Support-vector networks
- Some results on Tchebycheffian spline functions and stochastic processes
- An algorithmic approach to nonlinear analysis and optimization
- MM Optimization Algorithms
- 10.1162/15324430152748218
- Safe Feature Elimination in Sparse Supervised Learning
- Proximal Distance Algorithms: Theory and Examples
- Strong Rules for Discarding Predictors in Lasso-Type Problems
- Variational methods for the solution of problems of equilibrium and vibrations
- Computational learning theory. 14th annual conference, COLT 2001, and 5th European conference, EuroCOLT 2001, Amsterdam, Netherlands, July 16--19, 2001. Proceedings
- Training invariant support vector machines
This page was built for publication: Algorithms for Sparse Support Vector Machines