The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- Canonical forest (Q2259759) (← links)
- A multi-loss super regression learner (MSRL) with application to survival prediction using proteomics (Q2259821) (← links)
- Prediction and classification in nonlinear data analysis: something old, something new, something borrowed, something blue (Q2259888) (← links)
- Comparative study of matrix refinement approaches for ensemble clustering (Q2260928) (← links)
- Neural network modeling of vector multivariable functions in ill-posed approximation problems (Q2263827) (← links)
- Network traffic classification based on ensemble learning and co-training (Q2267055) (← links)
- Management of uncertainty in statistical reasoning: the case of regression analysis (Q2270393) (← links)
- Optimization of a training set for more robust face detection (Q2270753) (← links)
- Bagging null space locality preserving discriminant classifiers for face recognition (Q2270809) (← links)
- Comments on ``Data science, big data and statistics'' (Q2273156) (← links)
- Estimating residual variance in random forest regression (Q2275646) (← links)
- A novel multi-view learning developed from single-view patterns (Q2275990) (← links)
- A probabilistic model of classifier competence for dynamic ensemble selection (Q2276007) (← links)
- Bagging of density estimators (Q2282605) (← links)
- Approximating high-dimensional infinite-order \(U\)-statistics: statistical and computational guarantees (Q2283566) (← links)
- A long short-term memory ensemble approach for improving the outcome prediction in intensive care unit (Q2283786) (← links)
- Predictive models for bariatric surgery risks with imbalanced medical datasets (Q2288869) (← links)
- Selective ensemble of SVDDs with Renyi entropy based diversity measure (Q2289595) (← links)
- A hierarchy of sum-product networks using robustness (Q2302778) (← links)
- Supervised learning via smoothed Polya trees (Q2303053) (← links)
- Multi-scale rois selection for classifying multi-spectral images (Q2308553) (← links)
- On the interpretation of ensemble classifiers in terms of Bayes classifiers (Q2317169) (← links)
- Estimating a sharp convergence bound for randomized ensembles (Q2317334) (← links)
- Sparse kernel deep stacking networks (Q2319474) (← links)
- On PAC-Bayesian bounds for random forests (Q2320582) (← links)
- Propensity score estimation using classification and regression trees in the presence of missing covariate data (Q2325020) (← links)
- Robust clustering tools based on optimal transportation (Q2329755) (← links)
- Application of the bootstrap method for change points analysis in generalized linear models (Q2329867) (← links)
- Massive datasets and machine learning for computational biomedicine: trends and challenges (Q2329887) (← links)
- Hybrid extreme rotation forest (Q2339385) (← links)
- Regression trees and forests for non-homogeneous Poisson processes (Q2339551) (← links)
- Multilabel classification through random graph ensembles (Q2353005) (← links)
- Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions (Q2353006) (← links)
- Local discriminative distance metrics ensemble learning (Q2353755) (← links)
- Structural-break models under mis-specification: implications for forecasting (Q2354861) (← links)
- Constraint relaxation, cost-sensitive learning and bagging for imbalanced classification problems with outliers (Q2359401) (← links)
- Fusing vantage point trees and linear discriminants for fast feature classification (Q2359576) (← links)
- A new variable selection approach using random forests (Q2361222) (← links)
- Stable prediction in high-dimensional linear models (Q2361487) (← links)
- Ranking in evolving complex networks (Q2364306) (← links)
- Bagging strategies for learning planning policies (Q2364365) (← links)
- FuzzyBagging: a novel ensemble of classifiers (Q2369574) (← links)
- Classification by evolutionary ensembles (Q2369589) (← links)
- Consensus analysis of multiple classifiers using non-repetitive variables: diagnostic application to microarray gene expression data (Q2373280) (← links)
- Bayesian multinomial latent variable modeling for fraud and abuse detection in health insurance (Q2374118) (← links)
- Projective clustering ensembles (Q2377272) (← links)
- An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (Q2378444) (← links)
- Cancer classification using ensemble of neural networks with multiple significant gene subsets (Q2383957) (← links)
- Active learning for logistic regression: an evaluation (Q2384165) (← links)
- Neural network ensemble strategies for financial decision applications (Q2387272) (← links)
