The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- From designing a single neural network to designing neural network ensembles (Q4454471) (← links)
- Toward robust early-warning models: a horse race, ensembles and model uncertainty (Q4555200) (← links)
- Random forests, decision trees, and categorical predictors: the ``absent levels'' problem (Q4558194) (← links)
- (Q4558507) (← links)
- Estimation and Inference of Heterogeneous Treatment Effects using Random Forests (Q4559704) (← links)
- PREDICTION/ESTIMATION WITH SIMPLE LINEAR MODELS: IS IT REALLY THAT SIMPLE? (Q4562554) (← links)
- Evolution of high-frequency systematic trading: a performance-driven gradient boosting model (Q4619504) (← links)
- Correlated model fusion (Q4620236) (← links)
- A scale-space approach with wavelets to singularity estimation (Q4671825) (← links)
- Delta Boosting Machine with Application to General Insurance (Q4689973) (← links)
- Modification of Random Forest Based Approach for Streaming Data with Concept Drift (Q4692062) (← links)
- ON MATHEMATICAL MODELLING OF SYNTHETIC MEASURES (Q4959420) (← links)
- INFERENCE AFTER MODEL AVERAGING IN LINEAR REGRESSION MODELS (Q4967794) (← links)
- Application of Multi-Input Hamacher-ANFIS Ensemble Model on Stock Price Forecast (Q4968530) (← links)
- (Q4969094) (← links)
- Distributed Decision‐Tree Induction in Peer‐to‐Peer Systems (Q4969623) (← links)
- Random survival forests for high‐dimensional data (Q4969754) (← links)
- Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment (Q4969822) (← links)
- Using data mining to enable integration of wind resources on the power grid (Q4969854) (← links)
- Multinomial-based small area estimation of labour force indicators (Q4970804) (← links)
- Random forest and variable importance rankings for correlated survival data, with applications to tooth loss (Q4971011) (← links)
- An analysis of parameter adaptation in reactive tabu search (Q4979993) (← links)
- (Q4998891) (← links)
- (Q4998936) (← links)
- (Q4998945) (← links)
- A combined strategy for multivariate density estimation (Q5012334) (← links)
- APPLYING ECONOMIC MEASURES TO LAPSE RISK MANAGEMENT WITH MACHINE LEARNING APPROACHES (Q5019041) (← links)
- Improving random forest algorithm by Lasso method (Q5033957) (← links)
- Diverse classifier ensemble creation based on heuristic dataset modification (Q5035729) (← links)
- MODEL OF MODELS: A NEW PERSPECTIVE TO DEAL WITH MODEL UNCERTAINTY (Q5036020) (← links)
- The relative performance of ensemble methods with deep convolutional neural networks for image classification (Q5036355) (← links)
- Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image (Q5036392) (← links)
- Predicting risk for adverse health events using random forest (Q5036398) (← links)
- A novel bagging approach for variable ranking and selection via a mixed importance measure (Q5036437) (← links)
- SVM–CART for disease classification (Q5036953) (← links)
- A new procedure for resampled portfolio with shrinkaged covariance matrix (Q5037046) (← links)
- Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (Q5037548) (← links)
- (Q5054632) (← links)
- Quantifying uncertainty of subsampling-based ensemble methods under a U-statistic framework (Q5055266) (← links)
- Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches (Q5057291) (← links)
- Extremizing and Antiextremizing in Bayesian Ensembles of Binary-Event Forecasts (Q5058057) (← links)
- Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications (Q5060788) (← links)
- Local Linear Forests (Q5066400) (← links)
- Kriging Riemannian Data via Random Domain Decompositions (Q5066456) (← links)
- A Projection Pursuit Forest Algorithm for Supervised Classification (Q5066498) (← links)
- Performance Assessment of High-dimensional Variable Identification (Q5066768) (← links)
- POINT AND INTERVAL FORECASTS OF DEATH RATES USING NEURAL NETWORKS (Q5067895) (← links)
- CatBoost — An Ensemble Machine Learning Model for Prediction and Classification of Student Academic Performance (Q5072091) (← links)
- Optimal threshold determination based on the mean excess plot (Q5078078) (← links)
- Statistical Problem Classes and Their Links to Information Theory (Q5080449) (← links)
