Pages that link to "Item:Q2478436"
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The following pages link to Multi-group support vector machines with measurement costs: A biobjective approach (Q2478436):
Displaying 13 items.
- Integer programming models for feature selection: new extensions and a randomized solution algorithm (Q322475) (← links)
- Supervised classification and mathematical optimization (Q339559) (← links)
- Feature selection for support vector machines via mixed integer linear programming (Q506302) (← links)
- Cost-sensitive feature selection for support vector machines (Q1734839) (← links)
- Cost-based feature selection for support vector machines: an application in credit scoring (Q1753611) (← links)
- Maximizing upgrading and downgrading margins for ordinal regression (Q1935916) (← links)
- A cost-sensitive constrained Lasso (Q2036145) (← links)
- Constrained Naïve Bayes with application to unbalanced data classification (Q2103945) (← links)
- On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19 (Q2239910) (← links)
- On support vector machines under a multiple-cost scenario (Q2324253) (← links)
- Two-group classification via a biobjective margin maximization model (Q2497257) (← links)
- A multi-model selection framework for unknown and/or evolutive misclassification cost problems (Q2654247) (← links)
- A mixed integer linear programming support vector machine for cost-effective group feature selection: branch-cut-and-price approach (Q2670542) (← links)
