Practical methods of optimization; (2nd ed.)
Practical methods of optimization; (2nd ed.)
The nature of statistical learning theory
The nature of statistical learning theory
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
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
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Newton's Method for Large Bound-Constrained Optimization Problems
SIAM Journal on Optimization
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)
Building Projectable Classifiers of Arbitrary Complexity
ICPR '96 Proceedings of the 13th International Conference on Pattern Recognition - Volume 2
Successive overrelaxation for support vector machines
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
STAR - Sparsity through Automated Rejection
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Typhoon Analysis and Data Mining with Kernel Methods
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Multiclass text categorization for automated survey coding
Proceedings of the 2003 ACM symposium on Applied computing
Automating survey coding by multiclass text categorization techniques
Journal of the American Society for Information Science and Technology
Decomposition methods for linear support vector machines
Neural Computation
Adapting two-class support vector classification methods to many class problems
ICML '05 Proceedings of the 22nd international conference on Machine learning
Training ν-Support Vector Classifiers: Theory and Algorithms
Neural Computation
Ho-Kashyap classifier with early stopping for regularization
Pattern Recognition Letters
Efficient optimization of support vector machine learning parameters for unbalanced datasets
Journal of Computational and Applied Mathematics
A method based on multispectral imaging technique for White Blood Cell segmentation
Computers in Biology and Medicine
Credit scoring with a data mining approach based on support vector machines
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines
The Journal of Machine Learning Research
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
The Journal of Machine Learning Research
General Polynomial Time Decomposition Algorithms
The Journal of Machine Learning Research
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
On the complexity of working set selection
Theoretical Computer Science
A distributed PSO-SVM hybrid system with feature selection and parameter optimization
Applied Soft Computing
A New Multi-class SVM Algorithm Based on One-Class SVM
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Global Convergence Analysis of Decomposition Methods for Support Vector Regression
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Candidate working set strategy based SMO algorithm in support vector machine
Information Processing and Management: an International Journal
Application of the Cross-Entropy Method to Dual Lagrange Support Vector Machine
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
Evolutionary fuzzy decision model for construction management using support vector machine
Expert Systems with Applications: An International Journal
A hybrid prediction model with F-score feature selection for type II Diabetes databases
Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India
Clifford support vector machines for classification, regression, and recurrence
IEEE Transactions on Neural Networks
A new smooth support vector machine
AICI'10 Proceedings of the 2010 international conference on Artificial intelligence and computational intelligence: Part I
Expert Systems with Applications: An International Journal
The Journal of Machine Learning Research
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
MSSVM: A Modular Solver for Support Vector Machines
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
A simplified multi-class support vector machine with reduced dual optimization
Pattern Recognition Letters
A novel multispectral imaging analysis method for white blood cell detection
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Computers and Operations Research
General polynomial time decomposition algorithms
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Parallel tuning of support vector machine learning parameters for large and unbalanced data sets
CompLife'05 Proceedings of the First international conference on Computational Life Sciences
Data mining with parallel support vector machines for classification
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Support vector machines for user-defined sheets recognition in complex environment
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
Predicting protein-protein interactions by a supervised learning classifier
Computational Biology and Chemistry
Understanding factors that affect response rates in twitter
Proceedings of the 23rd ACM conference on Hypertext and social media
Pedestrian detection by PCA-based mixed HOG-LBP features
Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
An efficient classification approach for large-scale mobile ubiquitous computing
Information Sciences: an International Journal
Applied Computational Intelligence and Soft Computing
Expert Systems with Applications: An International Journal
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The decomposition method is currently one of the major methods for solving support vector machines. An important issue of this method is the selection of working sets. In this paper through the design of decomposition methods for bound-constrained SVM formulations we demonstrate that the working set selection is not a trivial task. Then from the experimental analysis we propose a simple selection of the working set which leads to faster convergences for difficult cases. Numerical experiments on different types of problems are conducted to demonstrate the viability of the proposed method.