Radius margin bounds for support vector machines with the RBF kernel
Neural Computation
Symbolization assisted SVM classifier for noisy data
Pattern Recognition Letters
Gradient-Based Adaptation of General Gaussian Kernels
Neural Computation
Feature extraction and gating techniques for ultrasonic shaft signal classification
Applied Soft Computing
Consistent Feature Selection for Pattern Recognition in Polynomial Time
The Journal of Machine Learning Research
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Evolving kernels for support vector machine classification
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Artificial Intelligence in Medicine
Automatic parameter tuning with a Bayesian case-based reasoning system. A case of study
Expert Systems with Applications: An International Journal
Gaussian kernel optimization for pattern classification
Pattern Recognition
Kernel Trees for Support Vector Machines
IEICE - Transactions on Information and Systems
Small Number of Hidden Units for ELM with Two-Stage Linear Model
IEICE - Transactions on Information and Systems
A Family-Based Evolutional Approach for Kernel Tree Selection in SVMs
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Fast and efficient strategies for model selection of Gaussian support vector machine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Evolutionary tuning of multiple SVM parameters
Neurocomputing
Maximum Relative Margin and Data-Dependent Regularization
The Journal of Machine Learning Research
Expediting model selection for support vector machines based on an advanced data reduction algorithm
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Simultaneous tuning of hyperparameter and parameter for support vector machines
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Experiments on kernel tree support vector machines for text categorization
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Analysis of the distance between two classes for tuning SVM hyperparameters
IEEE Transactions on Neural Networks
Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm
Neurocomputing
An ACO-based algorithm for parameter optimization of support vector machines
Expert Systems with Applications: An International Journal
How effective is Tabu search to configure support vector regression for effort estimation?
Proceedings of the 6th International Conference on Predictive Models in Software Engineering
Orientation distance-based discriminative feature extraction for multi-class classification
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part II
Information Sciences: an International Journal
PSO-Based hyper-parameters selection for LS-SVM classifiers
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Evolutionary optimization of sequence kernels for detection of bacterial gene starts
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Designing nonlinear classifiers through minimizing VC dimension bound
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Evaluating feature selection for SVMs in high dimensions
ECML'06 Proceedings of the 17th European conference on Machine Learning
Learning bounds for support vector machines with learned kernels
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Automatic face recognition by support vector machines
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Multi-objective model selection for support vector machines
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A new smooth support vector regression based on ε-insensitive logistic loss function
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part III
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Parsimonious Mahalanobis kernel for the classification of high dimensional data
Pattern Recognition
Computers and Electronics in Agriculture
A hybrid WA-CPSO-LSSVR model for dissolved oxygen content prediction in crab culture
Engineering Applications of Artificial Intelligence
Hi-index | 0.01 |
The paper discusses implementation issues related to the tuning of the hyperparameters of a support vector machine (SVM) with L2 soft margin, for which the radius/margin bound is taken as the index to be minimized, and iterative techniques are employed for computing radius and margin. The implementation is shown to be feasible and efficient, even for large problems having more than 10000 support vectors.