The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- Optimal prediction pools (Q738000) (← links)
- A weight-adjusted voting algorithm for ensembles of classifiers (Q743769) (← links)
- Prediction-based regularization using data augmented regression (Q746200) (← links)
- Iterative bias reduction: a comparative study (Q746347) (← links)
- Consensus hashing (Q747259) (← links)
- Imitation learning of car driving skills with decision trees and random forests (Q747406) (← links)
- Hybrid cluster ensemble framework based on the random combination of data transformation operators (Q763364) (← links)
- Multi-target support vector regression via correlation regressor chains (Q778425) (← links)
- Locally linear ensemble for regression (Q781904) (← links)
- Semi-supervised superpixel classification for medical images segmentation: application to detection of glaucoma disease (Q784603) (← links)
- Generalization error for Tweedie models: decomposition and error reduction with bagging (Q825308) (← links)
- Krigings over space and time based on latent low-dimensional structures (Q829391) (← links)
- The Delaunay triangulation learner and its ensembles (Q830534) (← links)
- Federated learning in side-channel analysis (Q831663) (← links)
- Cost-sensitive ensemble learning: a unifying framework (Q832635) (← links)
- COVID-19 pandemic forecasting using CNN-LSTM: a hybrid approach (Q832776) (← links)
- An empirical study on classification methods for alarms from a bug-finding static C analyzer (Q845982) (← links)
- Statistics for phylogenetic trees (Q849456) (← links)
- An analysis of diversity measures (Q851877) (← links)
- Training a reciprocal-sigmoid classifier by feature scaling-space (Q851878) (← links)
- Experimental study for the comparison of classifier combination methods (Q853091) (← links)
- A cooperative constructive method for neural networks for pattern recognition (Q853100) (← links)
- On bagging and nonlinear estimation (Q866611) (← links)
- Improved customer choice predictions using ensemble methods (Q872292) (← links)
- Adaptive text mining: inferring structure from sequences (Q876712) (← links)
- Rationale and applications of survival tree and survival ensemble methods (Q888036) (← links)
- Performance improvement of classifier fusion for batch samples based on upper integral (Q889383) (← links)
- Pruning of error correcting output codes by optimization of accuracy-diversity trade off (Q890296) (← links)
- Two-level quantile regression forests for bias correction in range prediction (Q890300) (← links)
- Probabilistic combination of classification rules and its application to medical diagnosis (Q890315) (← links)
- Committee polyhedral separability: complexity and polynomial approximation (Q890319) (← links)
- A new variable importance measure for random forests with missing data (Q892440) (← links)
- Ensemble classification of paired data (Q901582) (← links)
- FSR methods for second-order regression models (Q901592) (← links)
- Interpretable classifiers using rules and Bayesian analysis: building a better stroke prediction model (Q902909) (← links)
- A simple method for combining estimates to improve the overall error rates in classification (Q906142) (← links)
- Ensembles of relational classifiers (Q929307) (← links)
- Parametric bootstrap approximation to the distribution of EBLUP and related prediction intervals in linear mixed models (Q930652) (← links)
- A lazy bagging approach to classification (Q936407) (← links)
- A dynamic overproduce-and-choose strategy for the selection of classifier ensembles (Q936409) (← links)
- Hidden Markov model-based ensemble methods for offline handwritten text line recognition (Q941591) (← links)
- Augmenting the bootstrap to analyze high dimensional genomic data (Q946203) (← links)
- Resampling methods for variable selection in robust regression (Q951933) (← links)
- Counting and enumerating aggregate classifiers (Q955312) (← links)
- Effective image retrieval using dominant color descriptor and fuzzy support vector machine (Q955837) (← links)
- The comparison between classification trees through proximity measures (Q956858) (← links)
- Aggregating classifiers with mathematical programming (Q957061) (← links)
- Generalised indirect classifiers (Q957252) (← links)
- Bundling classifiers by bagging trees (Q957281) (← links)
- Relevance measures for subset variable selection in regression problems based on \(k\)-additive mutual information (Q957296) (← links)
