The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- AI*IA 2003: Advances in Artificial Intelligence (Q5897327) (← links)
- On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence (Q5898260) (← links)
- Extremely randomized trees (Q5898262) (← links)
- Extremely randomized trees (Q5920614) (← links)
- On the independence requirement in Dempster-Shafer theory for combining classifiers providing statistical evidence (Q5920644) (← links)
- Stochastic gradient boosting. (Q5958470) (← links)
- Looking for lumps: boosting and bagging for density estimation. (Q5958471) (← links)
- Effect of pruning and early stopping on performance of a boosting ensemble. (Q5958472) (← links)
- Improving nonparametric regression methods by bagging and boosting. (Q5958473) (← links)
- Generalized additive multi-mixture model for data mining. (Q5958479) (← links)
- A statistical approach to growing a reliable honest tree. (Q5958581) (← links)
- Statistical significance of the Netflix challenge (Q5962690) (← links)
- Recent developments in bootstrap methodology (Q5965013) (← links)
- Bootstrapping phylogenetic trees: theory and methods (Q5965023) (← links)
- Randomized maximum-contrast selection: subagging for large-scale regression (Q5965320) (← links)
- Comments on ``Data science, big data and statistics'' (Q5970973) (← links)
- Comments on: ``A random forest guided tour'' (Q5972095) (← links)
- Comments on: ``A random forest guided tour'' (Q5972096) (← links)
- Joint leaf-refinement and ensemble pruning through \(L_1\) regularization (Q6040512) (← links)
- Quantum amplitude amplification algorithm simulation for prediction of a binary classification problem (Q6043933) (← links)
- ROC‐guided survival trees and ensembles (Q6047755) (← links)
- Machine Learning Surrogate Modeling for Meshless Methods: Leveraging Universal Approximation (Q6048309) (← links)
- Regression with missing data, a comparison study of techniques based on random forests (Q6050720) (← links)
- A hybrid ensemble method with negative correlation learning for regression (Q6053807) (← links)
- Hierarchical fuzzy regression tree: a new gradient boosting approach to design a TSK fuzzy model (Q6059602) (← links)
- A power-controlled reliability assessment for multi-class probabilistic classifiers (Q6062812) (← links)
- Generalized decision directed acyclic graphs for classification tasks (Q6064259) (← links)
- Supervised Machine Learning Techniques: An Overview with Applications to Banking (Q6067148) (← links)
- Risk aversion in share auctions: Estimating import rents from TRQs in Switzerland (Q6067222) (← links)
- Ensemble Subset Regression (ENSURE): Efficient High-dimensional Prediction (Q6069875) (← links)
- A two‐stage forecasting approach for short‐term intermodal freight prediction (Q6070984) (← links)
- Detecting cell assemblies by NMF-based clustering from calcium imaging data (Q6072498) (← links)
- A framework for machine learning of model error in dynamical systems (Q6076655) (← links)
- Discrete IV \(d_G\)-Choquet integrals with respect to admissible orders (Q6079385) (← links)
- Global sensitivity analysis of randomized trials with nonmonotone missing binary outcomes: Application to studies of substance use disorders (Q6079486) (← links)
- A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI (Q6079744) (← links)
- Selective Prediction-Set Models with Coverage Rate Guarantees (Q6079770) (← links)
- Inverse attribute‐based optimization with an application in assortment optimization (Q6082243) (← links)
- A hybrid generalized propensity score approach for observational studies (Q6083007) (← links)
- Extrapolation‐based Bandwidth Selectors: A Review and Comparative Study with Discussion on Bivariate Applications (Q6086610) (← links)
- Optimization over decision trees: a case study for the design of stable direct-current electricity networks (Q6088547) (← links)
- BAYESIAN DYNAMIC VARIABLE SELECTION IN HIGH DIMENSIONS (Q6088682) (← links)
- Bayesian regularization for flexible baseline hazard functions in Cox survival models (Q6088904) (← links)
- Breaking the curse of dimensionality in quadratic discriminant analysis models with a novel variant of a Bayes classifier enhances automated taxa identification of freshwater macroinvertebrates (Q6089987) (← links)
- Machine learning in bank merger prediction: a text-based approach (Q6090183) (← links)
- Hierarchically structured task-agnostic continual learning (Q6097166) (← links)
- Random forest pruning techniques: a recent review (Q6097443) (← links)
- A systematic literature review on the use of machine learning in code clone research (Q6101313) (← links)
- Regression trees and ensemble for multivariate outcomes (Q6102203) (← links)
- Is there a role for statistics in artificial intelligence? (Q6103792) (← links)
