Machine Learning
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
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
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
CSMC: A combination strategy for multi-class classification based on multiple association rules
Knowledge-Based Systems
Nonparallel plane proximal classifier
Signal Processing
Multi-weight vector projection support vector machines
Pattern Recognition Letters
A support vector machine-based model for detecting top management fraud
Knowledge-Based Systems
An improved training algorithm for nonlinear kernel discriminants
IEEE Transactions on Signal Processing - Part I
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Probabilistic outputs for twin support vector machines
Knowledge-Based Systems
Face recognition using recursive Fisher linear discriminant
IEEE Transactions on Image Processing
Successive overrelaxation for support vector machines
IEEE Transactions on Neural Networks
Recursive Support Vector Machines for Dimensionality Reduction
IEEE Transactions on Neural Networks
Improvements on Twin Support Vector Machines
IEEE Transactions on Neural Networks
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions
Structural twin parametric-margin support vector machine for binary classification
Knowledge-Based Systems
A proximal classifier with consistency
Knowledge-Based Systems
Least squares twin parametric-margin support vector machine for classification
Applied Intelligence
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For the recently proposed projection twin support vector machine (PTSVM) [1], we propose a simpler and reasonable variant from theoretical point of view, called projection twin support vector machine with regularization term, RPTSVM for short. Note that only the empirical risk minimization is introduced in primal problems of PTSVM, incurring the possible singularity problems. Our RPTSVM reformulates the primal problems by adding a maximum margin regularization term, and, therefore, the singularity is avoided and the regularized risk principle is implemented. In addition, the nonlinear classification ignored in PTSVM is also considered in our RPTSVM. Further, a successive overrelaxation technique and a genetic algorithm are introduced to solve our optimization problems and to do the parameter selection, respectively. Computational comparisons of our RPTSVM against original PTSVM, TWSVM and MVSVM indicate that our RPTSVM obtains better generalization than others.