More results in the convergence of iterative methods for the symetric linear complementarity problem
Journal of Optimization Theory and Applications
Annals of Operations Research - Special Issue: Parallel Optimization on Novel Computer Architectures
Annals of Operations Research
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Optimization methods in data mining and machine learning
Optimization methods in data mining and machine learning
Feature minimization within decision trees
Computational Optimization and Applications
An equivalence between sparse approximation and support vector machines
Neural Computation
Support vector machines, reproducing kernel Hilbert spaces, and randomized GACV
Advances in kernel methods
Making large-scale support vector machine learning practical
Advances in kernel methods
Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Parsimonious Least Norm Approximation
Computational Optimization and Applications
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Fundamentals of Artificial Neural Networks
Fundamentals of Artificial Neural Networks
Learning from Data: Concepts, Theory, and Methods
Learning from Data: Concepts, Theory, and Methods
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Feature Selection Via Mathematical Programming
INFORMS Journal on Computing
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Support vector machines: hype or hallelujah?
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
How Can Computer Science Contribute to Knowledge Discovery?
SOFSEM '01 Proceedings of the 28th Conference on Current Trends in Theory and Practice of Informatics Piestany: Theory and Practice of Informatics
A Random Sampling Technique for Training Support Vector Machines
ALT '01 Proceedings of the 12th International Conference on Algorithmic Learning Theory
Multi-group support vector machines with measurement costs: A biobjective approach
Discrete Applied Mathematics
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Review: Supervised classification and mathematical optimization
Computers and Operations Research
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We describe the role of generalized support vector machines in separating massive and complex data using arbitrary nonlinear kernels. Feature selection that improves generalization is implemented via an effective procedure that utilizes a polyhedral norm or a concave function minimization. Massive data is separated using a linear programming chunking algorithm as well as a successive overrelaxation algorithm, each of which is capable of processing data with millions of points.