Machine Learning
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
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
Proximal support vector machine classifiers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Support Vector Machine for Regression and Applications to Financial Forecasting
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 6 - Volume 6
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Multisurface Proximal Support Vector Machine Classification via Generalized Eigenvalues
IEEE Transactions on Pattern Analysis and Machine Intelligence
Twin Support Vector Machines for Pattern Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A dual coordinate descent method for large-scale linear SVM
Proceedings of the 25th international conference on Machine learning
Application of smoothing technique on twin support vector machines
Pattern Recognition Letters
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
The Journal of Machine Learning Research
LIBLINEAR: A Library for Large Linear Classification
The Journal of Machine Learning Research
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Successive overrelaxation for support vector machines
IEEE Transactions on Neural Networks
Probabilistic outputs for twin support vector machines
Knowledge-Based Systems
A regularization for the projection twin support vector machine
Knowledge-Based Systems
Structural twin support vector machine for classification
Knowledge-Based Systems
Efficient Implementation of Nonparallel Hyperplanes Classifier
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Ensemble learning for generalised eigenvalues proximal support vector machines
International Journal of Computer Applications in Technology
A proximal classifier with consistency
Knowledge-Based Systems
Nonparallel hyperplane support vector machine for binary classification problems
Information Sciences: an International Journal
Least squares twin parametric-margin support vector machine for classification
Applied Intelligence
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Twin support vector machines (TWSVMs) obtain faster learning speed by solving a pair of smaller SVM-type problems. In order to increase its efficiency further, this paper presents a coordinate descent margin based twin vector machine (CDMTSVM) compared with the original TWSVM. The major advantages of CDMTSVM lie in two aspects: (1) The primal and dual problems are reformulated and improved by adding a regularization term in the primal problems which implies maximizing the ''margin'' between the proximal hyperplane and bounding hyperplane, yielding the dual problems to be stable positive definite quadratic programming problems. (2) A novel coordinate descent method is proposed for our dual problems which leads to very fast training. As our coordinate descent method handles one data point at a time, it can process very large datasets that need not reside in memory. Our experiments on publicly available datasets indicate that our CDMTSVM is not only fast, but also shows good generalization performance.