Pages that link to "Item:Q871009"
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The following pages link to Splitting variable selection for multivariate regression trees (Q871009):
Displaying 19 items.
- RE-EM trees: a data mining approach for longitudinal and clustered data (Q131629) (← links)
- A note on split selection bias in classification trees (Q956844) (← links)
- Variable selection bias in regression trees with constant fits (Q956860) (← links)
- An unbiased method for constructing multilabel classification trees (Q956995) (← links)
- Unbiased variable selection for classification trees with multivariate responses (Q1010402) (← links)
- Multivariate data analysis and modeling through classification and regression trees (Q1566636) (← links)
- Split variable selection for tree modeling on rank data (Q1927062) (← links)
- Regression trees for longitudinal and multiresponse data (Q1951544) (← links)
- An explicit split point procedure in model-based trees allowing for a quick fitting of GLM trees and GLM forests (Q2066746) (← links)
- Regression trees for detecting preference patterns from rank data (Q2324255) (← links)
- Three Steps Strategy to Search for Optimum Classification Trees (Q2809627) (← links)
- Multivariate Regression Trees for Analysis of Abundance Data (Q3442988) (← links)
- Performance of localized regression tree splitting criteria on data with discontinuities (Q4651125) (← links)
- Regression Trees for Survival Data — an Approach to Select Discontinuous Split Points by Rank Statistics (Q4944478) (← links)
- Variable Selection via Regression Trees in the Presence of Irrelevant Variables (Q5299918) (← links)
- (Q5692290) (← links)
- Selecting the best splits for classification trees with categorical variables (Q5953875) (← links)
- Tree-based ensembles for multi-output regression: comparing multivariate approaches with separate univariate ones (Q6111503) (← links)
- Time-penalised trees (\texttt{TpT}): introducing a new tree-based data mining algorithm for time-varying covariates (Q6661058) (← links)
