The following pages link to rpart (Q19171):
Displaying 50 items.
- Detecting heterogeneous treatment effects with instrumental variables and application to the Oregon Health Insurance Experiment (Q2154220) (← links)
- Imbalanced learning for insurance using modified loss functions in tree-based models (Q2172025) (← links)
- Double random forest (Q2203331) (← links)
- A Bayesian perspective of statistical machine learning for big data (Q2203387) (← links)
- SIRUS: stable and interpretable RUle set for classification (Q2219234) (← links)
- A new classification tree method with interaction detection capability (Q2242150) (← links)
- Latent map Gaussian processes for mixed variable metamodeling (Q2246360) (← links)
- Benchmarking local classification methods (Q2259338) (← links)
- Predictive analytics of insurance claims using multivariate decision trees (Q2283657) (← links)
- Calibration procedures for approximate Bayesian credible sets (Q2290713) (← links)
- Sparsity in optimal randomized classification trees (Q2301963) (← links)
- \texttt{OpenML}: an \texttt{R} package to connect to the machine learning platform OpenML (Q2319473) (← links)
- Regression trees and forests for non-homogeneous Poisson processes (Q2339551) (← links)
- Generalized mixed effects regression trees (Q2405928) (← links)
- Cross-validated bagged learning (Q2474238) (← links)
- Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT (Q2513385) (← links)
- Optimal randomized classification trees (Q2668720) (← links)
- On sparse optimal regression trees (Q2670540) (← links)
- partykit: a modular toolkit for recursive partytioning in \texttt{R} (Q2788434) (← links)
- Constructive regression on implicit regions (Q2795850) (← links)
- On Class Imbalance Correction for Classification Algorithms in Credit Scoring (Q2806890) (← links)
- Three Steps Strategy to Search for Optimum Classification Trees (Q2809627) (← links)
- Foundations of statistical algorithms. With references to R packages (Q2871231) (← links)
- Applied Predictive Modeling (Q2874155) (← links)
- R and data mining. Examples and case studies (Q2881386) (← links)
- An investigation of missing data methods for classification trees applied to binary response data (Q2896022) (← links)
- Combining biomarkers to optimize patient treatment recommendations (Q2927626) (← links)
- Modern data science with R (Q2959035) (← links)
- Relating Amino Acid Sequence to Phenotype: Analysis of Peptide-Binding Data (Q3078792) (← links)
- Support Vector Machines with the Ramp Loss and the Hard Margin Loss (Q3098771) (← links)
- Novel Aggregate Deletion/Substitution/Addition Learning Algorithms for Recursive Partitioning (Q3391141) (← links)
- Cutpoint Selection for Categorizing a Continuous Predictor (Q3442982) (← links)
- Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability (Q3520072) (← links)
- A comparison of classification models to identify the Fragile X Syndrome (Q3532659) (← links)
- A Partially Linear Tree-based Regression Model for Multivariate Outcomes (Q3561805) (← links)
- (Q4459295) (← links)
- Random forests, decision trees, and categorical predictors: the ``absent levels'' problem (Q4558194) (← links)
- A data driven binning strategy for the construction of insurance tariff classes (Q4562032) (← links)
- Multivariate forests with missing mixed outcomes (Q4605233) (← links)
- Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
- Practical Tools for Designing and Weighting Survey Samples (Q4631356) (← links)
- (Q4671603) (← links)
- Appraisal of Performance of Three Tree-Based Classification Methods (Q4689247) (← links)
- (Q4832056) (← links)
- (Q4922220) (← links)
- Embedding black-box regression techniques into hierarchical Bayesian models (Q4925453) (← links)
- Modeling lightcurves for improved classification of astronomical objects (Q4970178) (← links)
- Regression tree-based diagnostics for linear multilevel models (Q4970829) (← links)
- Classification using semiparametric mixtures (Q5034169) (← links)
- Subgroup identification by recursive segmentation (Q5036362) (← links)
