The nature of statistical learning theory
The nature of statistical learning theory
Properties of support vector machines
Neural Computation
Making large-scale support vector machine learning practical
Advances in kernel methods
Alpha seeding for support vector machines
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
The Effect of the Input Density Distribution on Kernel-based Classifiers
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Kernel independent component analysis
The Journal of Machine Learning Research
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Two-dimensional solution path for support vector regression
ICML '06 Proceedings of the 23rd international conference on Machine learning
Efficient model selection for regularized linear discriminant analysis
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Some Equivalences between Kernel Methods and Information Theoretic Methods
Journal of VLSI Signal Processing Systems
Efficient Computation and Model Selection for the Support Vector Regression
Neural Computation
Structured Prediction, Dual Extragradient and Bregman Projections
The Journal of Machine Learning Research
Considering Cost Asymmetry in Learning Classifiers
The Journal of Machine Learning Research
An Efficient Implementation of an Active Set Method for SVMs
The Journal of Machine Learning Research
Combining association measures for collocation extraction
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A kernel path algorithm for support vector machines
Proceedings of the 24th international conference on Machine learning
A two-level approach to choose the cost parameter in support vector machines
Expert Systems with Applications: An International Journal
A refinement model with information granulation focused on difficult to distinguish cases
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
ACM Transactions on Knowledge Discovery from Data (TKDD)
Bi-level path following for cross validated solution of kernel quantile regression
Proceedings of the 25th international conference on Machine learning
VC Theory of Large Margin Multi-Category Classifiers
The Journal of Machine Learning Research
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
The Journal of Machine Learning Research
Bayesian Inference and Optimal Design for the Sparse Linear Model
The Journal of Machine Learning Research
Spectral algorithms for supervised learning
Neural Computation
Regularization Paths for ν-SVM and ν-SVR
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Batch Support Vector Training Based on Exact Incremental Training
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Path Algorithms for One-Class SVM
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Classification model selection via bilevel programming
Optimization Methods & Software - Mathematical programming in data mining and machine learning
Large scale portfolio optimization with piecewise linear transaction costs
Optimization Methods & Software
Ensemble one-class support vector machines for content-based image retrieval
Expert Systems with Applications: An International Journal
Improved large margin dependency parsing via local constraints and laplacian regularization
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Robust support vector machine training via convex outlier ablation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Fast and efficient strategies for model selection of Gaussian support vector machine
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A growing and pruning method for radial basis function networks
IEEE Transactions on Neural Networks
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
A new support vector machine for microarray classification and adaptive gene selection
ACC'09 Proceedings of the 2009 conference on American Control Conference
Support vector machine for functional data classification
Neurocomputing
A Least-squares Approach to Direct Importance Estimation
The Journal of Machine Learning Research
Bi-Level Path Following for Cross Validated Solution of Kernel Quantile Regression
The Journal of Machine Learning Research
Model Selection: Beyond the Bayesian/Frequentist Divide
The Journal of Machine Learning Research
Analysis of the distance between two classes for tuning SVM hyperparameters
IEEE Transactions on Neural Networks
Nested support vector machines
IEEE Transactions on Signal Processing
Incremental and decremental learning for linear support vector machines
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Optimising multiple kernels for SVM by genetic programming
EvoCOP'08 Proceedings of the 8th European conference on Evolutionary computation in combinatorial optimization
An effective regularization path for ν-support vector classification
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
The entire quantile path of a risk-agnostic SVM classifier
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
An effective method of pruning support vector machine classifiers
IEEE Transactions on Neural Networks
An improved algorithm for the solution of the regularization path of support vector machine
IEEE Transactions on Neural Networks
On the regularization path of the support vector domain description
Pattern Recognition Letters
Multiple incremental decremental learning of support vector machines
IEEE Transactions on Neural Networks
Framelet kernels with applications to support vector regression and regularization networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on gait analysis
Approximating parameterized convex optimization problems
ESA'10 Proceedings of the 18th annual European conference on Algorithms: Part I
Computational Statistics & Data Analysis
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Active learning with adaptive regularization
Pattern Recognition
Differentially Private Empirical Risk Minimization
The Journal of Machine Learning Research
The structured elastic net for quantile regression and support vector classification
Statistics and Computing
The entire regularization path for the support vector domain description
MICCAI'06 Proceedings of the 9th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Signal Processing
Learning recommender systems with adaptive regularization
Proceedings of the fifth ACM international conference on Web search and data mining
Accurate on-line ν-support vector learning
Neural Networks
Coordinate ascent for penalized semiparametric regression on high-dimensional panel count data
Computational Statistics & Data Analysis
Review: Supervised classification and mathematical optimization
Computers and Operations Research
A variance reduction framework for stable feature selection
Statistical Analysis and Data Mining
Approximating parameterized convex optimization problems
ACM Transactions on Algorithms (TALG)
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Learning nonlinear hybrid systems: from sparse optimization to support vector regression
Proceedings of the 16th international conference on Hybrid systems: computation and control
Variable selection for generalized linear mixed models by L1-penalized estimation
Statistics and Computing
Intelligent Data Analysis - Business Analytics and Intelligent Optimization
Group subset selection for linear regression
Computational Statistics & Data Analysis
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The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values for the tuning parameters: the regularization cost parameter, and the kernel parameters. It seems a common practice is to use a default value for the cost parameter, often leading to the least restrictive model. In this paper we argue that the choice of the cost parameter can be critical. We then derive an algorithm that can fit the entire path of SVM solutions for every value of the cost parameter, with essentially the same computational cost as fitting one SVM model. We illustrate our algorithm on some examples, and use our representation to give further insight into the range of SVM solutions.