Radial basis functions for multivariable interpolation: a review
Algorithms for approximation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
The nature of statistical learning theory
The nature of statistical learning theory
A class of smoothing functions for nonlinear and mixed complementarity problems
Computational Optimization and Applications
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Alpha seeding for support vector machines
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Self-Organizing Maps
IEEE Intelligent Systems
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
Lagrangian support vector machines
The Journal of Machine Learning Research
Improving the Performance of Multi-Class SVMs in Face Recognition with Nearest Neighbor Rule
ICTAI '03 Proceedings of the 15th IEEE International Conference on Tools with Artificial Intelligence
Character Extraction from Natural Scene Images by Hierarchical Classifiers
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
An Efficient Three-Stage Classifier for Handwritten Digit Recognition
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Reducing SVM classification time using multiple mirror classifiers
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
The analysis of decomposition methods for support vector machines
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
A study on reduced support vector machines
IEEE Transactions on Neural Networks
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In this paper, we first briefly review some knowledge of Support Vector Machines (SVMs). This includes not only SVM's dual forms and solution forms but also the general process and properties of SVM. Then aiming at speeding up SVMs, some kinds of Reduced SVMs (RSVMs) are discussed in detailed. A comparison among them is presented in several aspects. Finally, we show research issues that need to be resolved or investigated further. A number of future trends are also briefly sketched.