Pages that link to "Item:Q4427342"
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The following pages link to Feature Selection via Mathematical Programming (Q4427342):
Displaying 33 items.
- Supervised classification and mathematical optimization (Q339559) (← links)
- Sparse weighted voting classifier selection and its linear programming relaxations (Q436579) (← links)
- Methods for pattern selection, class-specific feature selection and classification for automated learning (Q461118) (← links)
- On detecting nonlinear patterns in discriminant problems (Q819313) (← links)
- Framework for efficient feature selection in genetic algorithm based data mining (Q869610) (← links)
- A discrete particle swarm optimization method for feature selection in binary classification problems (Q976482) (← links)
- Variable selection in kernel Fisher discriminant analysis by means of recursive feature elimina\-tion (Q1010549) (← links)
- Evaluating feature selection methods for learning in data mining applications. (Q1429953) (← links)
- Fuzzy rule based classification with FeatureSelector and modified threshold accepting (Q1577125) (← links)
- Lagrangian relaxation for SVM feature selection (Q1652409) (← links)
- Cost-sensitive feature selection for support vector machines (Q1734839) (← links)
- Robust \(L_p\)-norm least squares support vector regression with feature selection (Q1735423) (← links)
- Using a bicriteria Boolean linear programming model for parameter selection in large multicategory classification problem (Q1816639) (← links)
- Dimension reduction techniques and the classification of bent double galaxies (Q1874123) (← links)
- Exact and approximate discrete optimization algorithms for finding useful disjunctions of categorical predicates in data analysis (Q1885808) (← links)
- Nonconvex and nonsmooth sparse optimization via adaptively iterative reweighted methods (Q2052389) (← links)
- Subset selection for multiple linear regression via optimization (Q2182858) (← links)
- Solving a class of feature selection problems via fractional 0--1 programming (Q2241181) (← links)
- Self-adaptive support vector machines: modelling and experiments (Q2271791) (← links)
- Feature selection in SVM via polyhedral \(k\)-norm (Q2300635) (← links)
- Embedded variable selection method using signomial classification (Q2400010) (← links)
- Operations research and data mining (Q2467295) (← links)
- Prototype selection for dissimilarity-based classifiers (Q2575824) (← links)
- Integrating support vector machines and neural networks (Q2643777) (← links)
- Quadratic programming feature selection (Q2896087) (← links)
- A DC Programming Approach for Sparse Linear Discriminant Analysis (Q3192955) (← links)
- Heuristics for feature selection in mathematical programming discriminant analysis models (Q3582657) (← links)
- Artificial Intelligence and Soft Computing - ICAISC 2004 (Q4666445) (← links)
- Data mining: manufacturing and service applications (Q5385393) (← links)
- Sparse optimization via vector \(k\)-norm and DC programming with an application to feature selection for support vector machines (Q6051312) (← links)
- Sum-of-squares relaxations in robust DC optimization and feature selection (Q6142071) (← links)
- Dual formulation of the sparsity constrained optimization problem: application to classification (Q6585821) (← links)
- On choosing initial values of iteratively reweighted \(\ell_1\) algorithms for the piece-wise exponential penalty (Q6587598) (← links)
