A D. C. Optimization Algorithm for Solving the Trust-Region Subproblem
SIAM Journal on Optimization
Penalty/Barrier Multiplier Methods for Convex Programming Problems
SIAM Journal on Optimization
Feature Selection via Concave Minimization and Support Vector Machines
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Feature Selection and Dualities in Maximum Entropy Discrimination
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Neural Computation
Mathematical programming approaches to machine learning and data mining
Mathematical programming approaches to machine learning and data mining
An introduction to variable and feature selection
The Journal of Machine Learning Research
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Multiple kernel learning, conic duality, and the SMO algorithm
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Direct convex relaxations of sparse SVM
Proceedings of the 24th international conference on Machine learning
Supervised feature selection via dependence estimation
Proceedings of the 24th international conference on Machine learning
Expert Systems with Applications: An International Journal
Mixed feature selection based on granulation and approximation
Knowledge-Based Systems
Neighborhood rough set based heterogeneous feature subset selection
Information Sciences: an International Journal
An Information Criterion for Variable Selection in Support Vector Machines
The Journal of Machine Learning Research
An efficient kernel matrix evaluation measure
Pattern Recognition
International Journal of Remote Sensing
Feature selection with dynamic mutual information
Pattern Recognition
Non-monotonic feature selection
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Efficient linearization of tree kernel functions
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A rough set approach to feature selection based on ant colony optimization
Pattern Recognition Letters
Feature Selection via Maximizing Neighborhood Soft Margin
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Reverse engineering of tree kernel feature spaces
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Selecting discrete and continuous features based on neighborhood decision error minimization
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Journal of Biomedical Informatics
Feature selection for SVM via optimization of kernel polarization with Gaussian ARD kernels
Expert Systems with Applications: An International Journal
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
On reverse feature engineering of syntactic tree kernels
CoNLL '10 Proceedings of the Fourteenth Conference on Computational Natural Language Learning
Simultaneous feature selection and classification using kernel-penalized support vector machines
Information Sciences: an International Journal
Operators for transforming kernels into quasi-local kernels that improve SVM accuracy
Journal of Intelligent Information Systems
Expert Systems with Applications: An International Journal
Combined Feature Selection and Cancer Prognosis Using Support Vector Machine Regression
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Comprehending and transferring facial expressions based on statistical shape and texture models
CGI'06 Proceedings of the 24th international conference on Advances in Computer Graphics
Embedded feature selection for support vector machines: state-of-the-art and future challenges
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
A DC programming approach for solving the symmetric Eigenvalue Complementarity Problem
Computational Optimization and Applications
Parameterized attribute reduction with Gaussian kernel based fuzzy rough sets
Information Sciences: an International Journal
Feature selection via dependence maximization
The Journal of Machine Learning Research
A general lp-norm support vector machine via mixed 0-1 programming
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Feature selection by block addition and block deletion
ANNPR'12 Proceedings of the 5th INNS IAPR TC 3 GIRPR conference on Artificial Neural Networks in Pattern Recognition
Feature Based Rule Learner in Noisy Environment Using Neighbourhood Rough Set Model
International Journal of Software Science and Computational Intelligence
Sparse high-dimensional fractional-norm support vector machine via DC programming
Computational Statistics & Data Analysis
Robust feature selection for SVMs under uncertain data
ICDM'13 Proceedings of the 13th international conference on Advances in Data Mining: applications and theoretical aspects
DCA based algorithms for feature selection in semi-supervised support vector machines
MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition
White box radial basis function classifiers with component selection for clinical prediction models
Artificial Intelligence in Medicine
A survey on feature selection methods
Computers and Electrical Engineering
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Feature selection is an important combinatorial optimisation problem in the context of supervised pattern classification. This paper presents four novel continuous feature selection approaches directly minimising the classifier performance. In particular, we include linear and nonlinear Support Vector Machine classifiers. The key ideas of our approaches are additional regularisation and embedded nonlinear feature selection. To solve our optimisation problems, we apply difference of convex functions programming which is a general framework for non-convex continuous optimisation. Experiments with artificial data and with various real-world problems including organ classification in computed tomography scans demonstrate that our methods accomplish the desired feature selection and classification performance simultaneously.