Pages that link to "Item:Q1402702"
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The following pages link to Double-bagging: Combining classifiers by bootstrap aggregation (Q1402702):
Displaying 17 items.
- Ensemble of optimal trees, random forest and random projection ensemble classification (Q138630) (← links)
- A bootstrap-based aggregate classifier for model-based clustering (Q626243) (← links)
- A weight-adjusted voting algorithm for ensembles of classifiers (Q743769) (← links)
- Ensemble classification of paired data (Q901582) (← links)
- Generalised indirect classifiers (Q957252) (← links)
- Bundling classifiers by bagging trees (Q957281) (← links)
- Using boosting to prune double-bagging ensembles (Q961263) (← links)
- Navigating random forests and related advances in algorithmic modeling (Q975577) (← links)
- Accurate ensemble pruning with PL-bagging (Q1623764) (← links)
- Ensemble of a subset of \(k\)NN classifiers (Q1630834) (← links)
- Arcing classifiers. (With discussion) (Q1807115) (← links)
- Canonical forest (Q2259759) (← links)
- Oblique random survival forests (Q2281237) (← links)
- Double machine learning with gradient boosting and its application to the Big \(N\) audit quality effect (Q2305992) (← links)
- Selected tree classifier combination based on both accuracy and error diversity (Q2485044) (← links)
- Out-of-Bag Estimation of the Optimal Hyperparameter in SubBag Ensemble Method (Q3072419) (← links)
- Aggregating classifiers with ordinal response structure (Q4675843) (← links)
