Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
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
Shrinking the tube: a new support vector regression algorithm
Proceedings of the 1998 conference on Advances in neural information processing systems II
Efficient SVM Regression Training with SMO
Machine Learning
A Simple Decomposition Method for Support Vector Machines
Machine Learning
Convergence of a Generalized SMO Algorithm for SVM Classifier Design
Machine Learning
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Training ν-Support Vector Classifiers: Theory and Algorithms
Neural Computation
Neural Computation
Improvements to the SMO algorithm for SVM regression
IEEE Transactions on Neural Networks
On the convergence of the decomposition method for support vector machines
IEEE Transactions on Neural Networks
Accurate on-line support vector regression
Neural Computation
Determining the fitness of a document model by using conflict instances
ADC '05 Proceedings of the 16th Australasian database conference - Volume 39
The cross entropy method for classification
ICML '05 Proceedings of the 22nd international conference on Machine learning
Leave-One-Out Bounds for Support Vector Regression Model Selection
Neural Computation
Efficient Computation and Model Selection for the Support Vector Regression
Neural Computation
Reducing examples to accelerate support vector regression
Pattern Recognition Letters
Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions
Expert Systems with Applications: An International Journal
Rough ν-support vector regression
Expert Systems with Applications: An International Journal
False positive reduction in urinary particle recognition
Expert Systems with Applications: An International Journal
Speech segmentation using regression fusion of boundary predictions
Computer Speech and Language
Reducing samples for accelerating multikernel semiparametric support vector regression
Expert Systems with Applications: An International Journal
Deterministic Error Analysis of Support Vector Regression and Related Regularized Kernel Methods
The Journal of Machine Learning Research
Learning to predict ice accretion on electric power lines
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Investigation of incremental support vector regression applied to real estate appraisal
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Investigation of mixture of experts applied to residential premises valuation
ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part II
Support vector regression for anomaly detection from measurement histories
Advanced Engineering Informatics
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We discuss the relation between ε-support vector regression (ε-SVR) and ν-support vector regression (ν-SVR). In particular, we focus on properties that are different from those of C-support vector classification (C-SVC) and ν-support vector classification (ν-SVC). We then discuss some issues that do not occur in the case of classification: the possible range of ε and the scaling of target values. A practical decomposition method for ν-SVR is implemented, and computational experiments are conducted. We show some interesting numerical observations specific to regression.