A fast algorithm for particle simulations
Journal of Computational Physics
A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Matrix computations (3rd ed.)
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
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
SSVM: A Smooth Support Vector Machine for Classification
Computational Optimization and Applications
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Choosing Multiple Parameters for Support Vector Machines
Machine Learning
A parallel mixture of SVMs for very large scale problems
Neural Computation
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
Support Vector Machines: Training and Applications
Support Vector Machines: Training and Applications
Efficient svm training using low-rank kernel representations
The Journal of Machine Learning Research
Sparseness of support vector machines
The Journal of Machine Learning Research
Convex Optimization
Core Vector Machines: Fast SVM Training on Very Large Data Sets
The Journal of Machine Learning Research
A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs
The Journal of Machine Learning Research
Building Support Vector Machines with Reduced Classifier Complexity
The Journal of Machine Learning Research
Sparse probabilistic classifiers
Proceedings of the 24th international conference on Machine learning
Simpler core vector machines with enclosing balls
Proceedings of the 24th international conference on Machine learning
Transductive support vector machines for structured variables
Proceedings of the 24th international conference on Machine learning
Optimized cutting plane algorithm for support vector machines
Proceedings of the 25th international conference on Machine learning
Optimization Techniques for Semi-Supervised Support Vector Machines
The Journal of Machine Learning Research
Application of smoothing technique on twin support vector machines
Pattern Recognition Letters
A Fast Method for Training Linear SVM in the Primal
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Robust support vector regression in the primal
Neural Networks
Kernel Methods in Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Learning SVMs from Sloppily Labeled Data
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
A Parameter-Free Classification Method for Large Scale Learning
The Journal of Machine Learning Research
Optimized Cutting Plane Algorithm for Large-Scale Risk Minimization
The Journal of Machine Learning Research
Bundle Methods for Regularized Risk Minimization
The Journal of Machine Learning Research
Selecting a reduced set for building sparse support vector regression in the primal
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Efficient algorithms for ranking with SVMs
Information Retrieval
Sparse approximation through boosting for learning large scale kernel machines
IEEE Transactions on Neural Networks
Multitask Kernel-based Learning with Logic Constraints
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Computers and Electronics in Agriculture
Classification with sums of separable functions
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
A unifying view of multiple kernel learning
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
New separating hyperplane method with application to the optimisation of direct marketing campaigns
Pattern Recognition Letters
SVM based feature selection: why are we using the dual?
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
Training linear ranking SVMs in linearithmic time using red-black trees
Pattern Recognition Letters
Large margin multiclass gaussian classification with differential privacy
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Fast PRISM: Branch and Bound Hough Transform for Object Class Detection
International Journal of Computer Vision
Stock price movement prediction using representative prototypes of financial reports
ACM Transactions on Management Information Systems (TMIS)
lp-Norm Multiple Kernel Learning
The Journal of Machine Learning Research
Differentially Private Empirical Risk Minimization
The Journal of Machine Learning Research
Laplacian Support Vector Machines Trained in the Primal
The Journal of Machine Learning Research
Asynchronous peer-to-peer data mining with stochastic gradient descent
Euro-Par'11 Proceedings of the 17th international conference on Parallel processing - Volume Part I
Online SVR Training by Solving the Primal Optimization Problem
Journal of Signal Processing Systems
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Inhibition in multiclass classification
Neural Computation
Review: Supervised classification and mathematical optimization
Computers and Operations Research
A sequential algorithm for sparse support vector classifiers
Pattern Recognition
Human age estimation using ranking SVM
CCBR'12 Proceedings of the 7th Chinese conference on Biometric Recognition
Effect on generalization of using relational information in list-wise algorithms
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Attribit: content creation with semantic attributes
Proceedings of the 26th annual ACM symposium on User interface software and technology
Large-scale linear support vector regression
The Journal of Machine Learning Research
Smoothing multivariate performance measures
The Journal of Machine Learning Research
Training Lp norm multiple kernel learning in the primal
Neural Networks
Fast linearization of tree kernels over large-scale data
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Computational Optimization and Applications
Convex and scalable weakly labeled SVMs
The Journal of Machine Learning Research
An SVM-AdaBoost facial expression recognition system
Applied Intelligence
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Most literature on support vector machines (SVMs) concentrates on the dual optimization problem. In this letter, we point out that the primal problem can also be solved efficiently for both linear and nonlinear SVMs and that there is no reason for ignoring this possibility. On the contrary, from the primal point of view, new families of algorithms for large-scale SVM training can be investigated.