The nature of statistical learning theory
The nature of statistical learning theory
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
A Simple Decomposition Method for Support Vector Machines
Machine Learning
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on 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)
Neural Computation
Successive overrelaxation for support vector machines
IEEE Transactions on Neural Networks
A fast iterative nearest point algorithm for support vector machine classifier design
IEEE Transactions on Neural Networks
The analysis of decomposition methods for support vector machines
IEEE Transactions on Neural Networks
Training v-support vector regression: theory and algorithms
Neural Computation
Support vector machines for analog circuit performance representation
Proceedings of the 40th annual Design Automation Conference
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Classifying large data sets using SVMs with hierarchical clusters
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Text classification from positive and unlabeled documents
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Genetic Programming and Evolvable Machines
A tutorial on support vector regression
Statistics and Computing
A generalized S-K algorithm for learning v-SVM classifiers
Pattern Recognition Letters
Feature Space Interpretation of SVMs with Indefinite Kernels
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expressive speech-driven facial animation
ACM Transactions on Graphics (TOG)
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing
Data Mining and Knowledge Discovery
Single-Class Classification with Mapping Convergence
Machine Learning
Enabling soft queries for data retrieval
Information Systems
Comments on the "Core Vector Machines: Fast SVM Training on Very Large Data Sets"
The Journal of Machine Learning Research
Semismooth Newton support vector machine
Pattern Recognition Letters
A general soft method for learning SVM classifiers with L1-norm penalty
Pattern Recognition
Cellular automata for simulating land use changes based on support vector machines
Computers & Geosciences
NOLASC'05 Proceedings of the 4th WSEAS International Conference on Non-linear Analysis, Non-linear Systems and Chaos
General solution and learning method for binary classification with performance constraints
Pattern Recognition Letters
ν-support vector machine as conditional value-at-risk minimization
Proceedings of the 25th international conference on Machine learning
Support Vector Machinery for Infinite Ensemble Learning
The Journal of Machine Learning Research
On the Equivalence of the SMO and MDM Algorithms for SVM Training
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Augmenting learning function to Bayesian network inferences with maximum likelihood parameters
Expert Systems with Applications: An International Journal
Learning-Function-Augmented Inferences of Causalities Implied in Health Data
Advanced Web and NetworkTechnologies, and Applications
Data preparation for sample-based face detection
International Journal of Computer Applications in Technology
Rough ν-support vector regression
Expert Systems with Applications: An International Journal
SVMC: single-class classification with support vector machines
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
GNG-SVM framework: classifying large datasets with support vector machines using growing neural gas
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Automatic clinical image segmentation using pathological modeling, PCA and SVM
Engineering Applications of Artificial Intelligence
A modified algorithm for nonconvex support vector classification
AIA '08 Proceedings of the 26th IASTED International Conference on Artificial Intelligence and Applications
On the simplification of an examples-based controller with support vector machines
Control and Intelligent Systems
Support vector machines of interval-based features for time series classification
Knowledge-Based Systems
Multi-Standard Quadratic Optimization: interior point methods and cone programming reformulation
Computational Optimization and Applications
Reducing samples for accelerating multikernel semiparametric support vector regression
Expert Systems with Applications: An International Journal
Learning in region-based image retrieval
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Generalized SMO-style decomposition algorithms
COLT'07 Proceedings of the 20th annual conference on Learning theory
A neural support vector machine
Neural Networks
Study on signal interpretation of GPR based on support vector machines
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Hierarchical clustering support vector machines for classifying type-2 diabetes patients
ISBRA'08 Proceedings of the 4th international conference on Bioinformatics research and applications
An effective incremental algorithm for ν-support vector machine
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
An effective regularization path for ν-support vector classification
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
A modified support vector machine and its application to image segmentation
Image and Vision Computing
Large margin classifiers based on affine hulls
Neurocomputing
A vertical search engine based on visual and textual features
Edutainment'10 Proceedings of the Entertainment for education, and 5th international conference on E-learning and games
Expert Systems with Applications: An International Journal
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
L2-SVM: Dependence on the regularization parameter
Pattern Recognition and Image Analysis
Expert Systems with Applications: An International Journal
Learning "verb-object" concepts for semantic image annotation
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Enabling Fast Brain-Computer Interaction by Single-Trial Extraction of Visual Evoked Potentials
Journal of Medical Systems
Evoked potentials estimation in brain-computer interface using support vector machine
RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
Training support vector machines with multiple equality constraints
ECML'05 Proceedings of the 16th European conference on Machine Learning
Infinite ensemble learning with support vector machines
ECML'05 Proceedings of the 16th European conference on Machine Learning
Accurate on-line ν-support vector learning
Neural Networks
Automatic clinical image segmentation using pathological modelling, PCA and SVM
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part II
Rough margin based core vector machine
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Expert Systems with Applications: An International Journal
Properties of the solution of L2-Support Vector Machine as a function of regularization parameter
Pattern Recognition and Image Analysis
On minimum distribution discrepancy support vector machine for domain adaptation
Pattern Recognition
Fast multi-label core vector machine
Pattern Recognition
A unified classification model based on robust optimization
Neural Computation
A view-invariant and anti-reflection algorithm for car body extraction and color classification
Multimedia Tools and Applications
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The ν-support vector machine (ν-SVM) for classification proposed by Schölkopf, Smola, Williamson, and Bartlett (2000) has the advantage of using a parameter ν on controlling the number of support vectors. In this article, we investigate the relation between ν-SVM and C-SVM in detail. We show that in general they are two different problems with the same optimal solution set. Hence, we may expect that many numerical aspects of solving them are similar. However, compared to regular C-SVM, the formulation of ν-SVM is more complicated, so up to now there have been no effective methods for solving large-scale ν-SVM. We propose a decomposition method for ν-SVM that is competitive with existing methods for C-SVM. We also discuss the behavior of ν-SVM by some numerical experiments.