Parsimonious Least Norm Approximation
Computational Optimization and Applications
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part I
Computational Optimization and Applications - Special issue on computational optimization—a tribute to Olvi Mangasarian, part II
Data selection for support vector machine classifiers
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature selection in unsupervised learning via evolutionary search
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining
Mathematical Programming in Data Mining
Data Mining and Knowledge Discovery
Optimization methods in massive data sets
Handbook of massive data sets
On learning to predict web traffic
Decision Support Systems - Special issue: Web data mining
Finding Essential Attributes from Binary Data
Annals of Mathematics and Artificial Intelligence
A generalized kernel approach to dissimilarity-based classification
The Journal of Machine Learning Research
The Journal of Machine Learning Research
Use of the zero norm with linear models and kernel methods
The Journal of Machine Learning Research
The disputed federalist papers: SVM feature selection via concave minimization
Proceedings of the 2003 conference on Diversity in computing
Classification and feature selection applied to breast cancer diagnosis
ACM SIGBIO Newsletter - Special issue on biomedical applications of knowledge discovery in databases
Discrete Applied Mathematics - Discrete mathematics & data mining (DM & DM)
Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance
Information Technology and Management
Feature Selection for Reduction of Tabular Knowledge-Based Systems
Information Technology and Management
Efficient and Scalable Pareto Optimization by Evolutionary Local Selection Algorithms
Evolutionary Computation
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimination
Computational Statistics & Data Analysis
Prototype selection for dissimilarity-based classifiers
Pattern Recognition
Oblique Multicategory Decision Trees Using Nonlinear Programming
INFORMS Journal on Computing
Intelligent Partitioning for Feature Selection
INFORMS Journal on Computing
INFORMS Journal on Computing
Integrating support vector machines and neural networks
Neural Networks
Evolutionary model selection in unsupervised learning
Intelligent Data Analysis
Expert Systems with Applications: An International Journal
Comparative analysis of cell parameter groups for breast cancer detection
Computer Methods and Programs in Biomedicine
A hybrid GA-based fuzzy classifying approach to urinary analysis modeling
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
A Hybrid Documents Classification Based on SVM and Rough Sets
AST '09 Proceedings of the 2009 International e-Conference on Advanced Science and Technology
Identification of signatures in biomedical spectra using domain knowledge
Artificial Intelligence in Medicine
Functional Feature Selection by Weighted Projections in Pathological Voice Detection
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Toward a successful CRM: variable selection, sampling, and ensemble
Decision Support Systems
Optimal ensemble construction via meta-evolutionary ensembles
Expert Systems with Applications: An International Journal
On detecting nonlinear patterns in discriminant problems
Information Sciences: an International Journal
Feature selection algorithms to find strong genes
Pattern Recognition Letters
Combination of rough sets and genetic algorithms for text classification
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Weighted feature extraction with a functional data extension
Neurocomputing
Prediction of equipment maintenance using optimized support vector machine
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
A decision support system for cost-effective diagnosis
Artificial Intelligence in Medicine
Integrated classifier hyperplane placement and feature selection
Expert Systems with Applications: An International Journal
Sparse weighted voting classifier selection and its linear programming relaxations
Information Processing Letters
Dimension reduction techniques and the classification of bent double galaxies
Computational Statistics & Data Analysis
Review: Supervised classification and mathematical optimization
Computers and Operations Research
Computers in Biology and Medicine
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
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The problem of discriminating between two finite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible is formulated as a mathematical program with a parametric objective function and linear constraints. The step function that appears in the objective function can be approximated by a sigmoid or by a concave exponential on the nonnegative real line, or it can be treated exactly by considering the equivalent linear program with equilibrium constraints. Computational tests of these three approaches on publicly available real-world databases have been carried out and compared with an adaptation of the optimal brain damage method for reducing neural network complexity. One feature selection algorithm via concave minimization reduced cross-validation error on a cancer prognosis database by 35.4% while reducing problem features from 32 to 4.