Pages that link to "Item:Q828748"
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The following pages link to Mathematical optimization in classification and regression trees (Q828748):
Displaying 26 items.
- Learning customized and optimized lists of rules with mathematical programming (Q1741119) (← links)
- Optimal decision trees for categorical data via integer programming (Q2046341) (← links)
- Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
- Assessment of the influence of features on a classification problem: an application to COVID-19 patients (Q2077933) (← links)
- A maximum-margin multisphere approach for binary multiple instance learning (Q2077935) (← links)
- Optimal policy trees (Q2102338) (← links)
- The backbone method for ultra-high dimensional sparse machine learning (Q2163249) (← links)
- On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19 (Q2239910) (← links)
- Variable selection for Naïve Bayes classification (Q2669548) (← links)
- On sparse optimal regression trees (Q2670540) (← links)
- Robust optimal classification trees under noisy labels (Q2673362) (← links)
- (Q5054624) (← links)
- Optimization of Tree Ensembles (Q5144785) (← links)
- Margin optimal classification trees (Q6065640) (← links)
- On mathematical optimization for clustering categories in contingency tables (Q6106171) (← links)
- On multivariate randomized classification trees: \(l_0\)-based sparsity, VC dimension and decomposition methods (Q6109286) (← links)
- On clustering and interpreting with rules by means of mathematical optimization (Q6109555) (← links)
- On optimal regression trees to detect critical intervals for multivariate functional data (Q6164347) (← links)
- A classification method based on a cloud of spheres (Q6491344) (← links)
- An improved column-generation-based matheuristic for learning classification trees (Q6561222) (← links)
- Supervised feature compression based on counterfactual analysis (Q6572856) (← links)
- Loss-optimal classification trees: a generalized framework and the logistic case (Q6592928) (← links)
- Guest editorial to the special issue on machine learning and mathematical optimization in top-transactions in operations research (Q6635844) (← links)
- Tuning parameters of deep neural network training algorithms pays off: a computational study (Q6635854) (← links)
- Estimation of confined compressive strength of LRS-FRP concrete specimens with computational intelligence (Q6664278) (← links)
- An integrated data envelopment analysis and regression tree method for new product price estimation (Q6667803) (← links)