The following pages link to 10.1162/153244303322753643 (Q4827812):
Displaying 37 items.
- Correlation and variable importance in random forests (Q58729) (← links)
- Regularization of case-specific parameters for robustness and efficiency (Q252778) (← links)
- Extensions of stability selection using subsamples of observations and covariates (Q340859) (← links)
- Analysis of programming properties and the row-column generation method for 1-norm support vector machines (Q460673) (← links)
- Relational linear programming (Q511779) (← links)
- Multi-model classification method in heterogeneous image databases (Q609130) (← links)
- Sparse ensembles using weighted combination methods based on linear programming (Q609179) (← links)
- Predictor output sensitivity and feature similarity-based feature selection (Q834484) (← links)
- An iterative SVM approach to feature selection and classification in high-dimensional datasets (Q888553) (← links)
- Feature selection using localized generalization error for supervised classification problems using RBFNN (Q948005) (← links)
- SVM-FuzCoC: A novel SVM-based feature selection method using a fuzzy complementary criterion (Q991247) (← links)
- Hybridizing principles of the Electre method with case-based reasoning for data mining: Electre-CBR-I and Electre-CBR-II (Q1011284) (← links)
- Lagrangian relaxation for SVM feature selection (Q1652409) (← links)
- Probing for sparse and fast variable selection with model-based boosting (Q1664500) (← links)
- Budget constrained non-monotonic feature selection (Q1669185) (← links)
- Sparse and kernel OPLS feature extraction based on eigenvalue problem solving (Q1677852) (← links)
- Feature selection for classification models via bilevel optimization (Q1734837) (← links)
- On the sparseness of 1-norm support vector machines (Q1784565) (← links)
- Sparse kernel SVMs via cutting-plane training (Q1959504) (← links)
- Feature importance ranking for classification in mixed online environments (Q2329906) (← links)
- Information-theoretic approaches to SVM feature selection for metagenome read classification (Q2362468) (← links)
- Non-parametric classifier-independent feature selection (Q2369609) (← links)
- Embedded variable selection method using signomial classification (Q2400010) (← links)
- Performance of Genocchi wavelet neural networks and least squares support vector regression for solving different kinds of differential equations (Q2695657) (← links)
- The assisted prediction modelling frame with hybridisation and ensemble for business risk forecasting and an implementation (Q2792947) (← links)
- (Q3093239) (← links)
- Classification of sparse high-dimensional vectors (Q3559954) (← links)
- On $\ell_p$-Support Vector Machines and Multidimensional Kernels (Q4969046) (← links)
- Understanding large text corpora via sparse machine learning (Q4969899) (← links)
- (Q4986047) (← links)
- Parameter choices for sparse regularization with the ℓ1 norm <sup>*</sup> (Q5060748) (← links)
- Structured sparse support vector machine with ordered features (Q5073382) (← links)
- (Q5214210) (← links)
- Principal weighted support vector machines for sufficient dimension reduction in binary classification (Q5384444) (← links)
- Adaptive metric dimensionality reduction (Q5964069) (← links)
- Sparse optimization via vector \(k\)-norm and DC programming with an application to feature selection for support vector machines (Q6051312) (← links)
- A duality approach to regularized learning problems in Banach spaces (Q6154551) (← links)
