The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- Training regression ensembles by sequential target correction and resampling (Q454845) (← links)
- Information estimators for weighted observations (Q461170) (← links)
- On a method for constructing ensembles of regression models (Q462080) (← links)
- Feature selection for \(k\)-means clustering stability: theoretical analysis and an algorithm (Q468677) (← links)
- Direct kernel perceptron (DKP): ultra-fast kernel ELM-based classification with non-iterative closed-form weight calculation (Q470174) (← links)
- Long-term time series prediction using OP-ELM (Q470217) (← links)
- Weight-selected attribute bagging for credit scoring (Q473541) (← links)
- The dropout learning algorithm (Q490652) (← links)
- Identifiability of a model for discrete frequency distributions with a multidimensional parameter space (Q495370) (← links)
- A theoretical foundation of portfolio resampling (Q497474) (← links)
- Discussion on the paper ``Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan'' by P. Secchi, S. Vantini and V. Vitelli (Q497825) (← links)
- A combined work optimization technology under resource constraints with an application to road repair (Q510276) (← links)
- Distributed learning for random vector functional-link networks (Q528749) (← links)
- Remembering Leo Breiman (Q542912) (← links)
- Remembrance of Leo Breiman (Q542915) (← links)
- Node harvest (Q542973) (← links)
- Looking inside self-organizing map ensembles with resampling and negative correlation learning (Q553253) (← links)
- Context-adaptive pre-processing scheme for robust speech recognition in fast-varying noise environment (Q553787) (← links)
- Neural network ensembles: Immune-inspired approaches to the diversity of components (Q601022) (← links)
- On the layered nearest neighbour estimate, the bagged nearest neighbour estimate and the random forest method in regression and classification (Q604365) (← links)
- Tie-respecting bootstrap methods for estimating distributions of sets and functions of eigenvalues (Q605864) (← links)
- Sparse ensembles using weighted combination methods based on linear programming (Q609179) (← links)
- Consolidated trees versus bagging when explanation is required (Q610446) (← links)
- Small area estimation of the homeless in Los Angeles: an application of cost-sensitive stochastic gradient boosting (Q614137) (← links)
- Preference disaggregation and statistical learning for multicriteria decision support: A review (Q621964) (← links)
- Survey on speech emotion recognition: features, classification schemes, and databases (Q621993) (← links)
- A bootstrap-based aggregate classifier for model-based clustering (Q626243) (← links)
- A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples (Q632610) (← links)
- Greedy optimization classifiers ensemble based on diversity (Q632627) (← links)
- Bayesian synthesis: combining subjective analyses, with an application to ozone data (Q641113) (← links)
- Semi-supervised classification based on random subspace dimensionality reduction (Q650963) (← links)
- Unsupervised weight parameter estimation method for ensemble learning (Q662147) (← links)
- Dynamic selection of generative-discriminative ensembles for off-line signature verification (Q663358) (← links)
- Coevolutionary learning of neural network ensemble for complex classification tasks (Q663362) (← links)
- Estimating the algorithmic variance of randomized ensembles via the bootstrap (Q666594) (← links)
- Generalized random forests (Q666599) (← links)
- Bagging equalizes influence (Q703064) (← links)
- On the construction of mutual fund portfolios: a multicriteria methodology and an application to the Greek market of equity mutual funds (Q706894) (← links)
- Ensemble strategies for a medical diagnostic decision support system: A breast cancer diagnosis application (Q706940) (← links)
- Customer base analysis: partial defection of behaviourally loyal clients in a non-contractual FMCG retail setting (Q707123) (← links)
- A meta-heuristic approach for improving the accuracy in some classification algorithms (Q709124) (← links)
- Gene feature interference deconvolution (Q709174) (← links)
- From cluster ensemble to structure ensemble (Q712663) (← links)
- Bayesian Weibull tree models for survival analysis of clinico-genomic data (Q713835) (← links)
- Tree models for difference and change detection in a complex environment (Q714372) (← links)
- A hybrid approach to predicting sports results and an accurate rating system (Q722706) (← links)
- A support vector machine-based ensemble algorithm for breast cancer diagnosis (Q723956) (← links)
- The lack of cross-validation can lead to inflated results and spurious conclusions: a re-analysis of the MacArthur violence risk assessment study (Q724609) (← links)
- Out-of-bag estimation of the optimal sample size in bagging (Q733150) (← links)
- Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers (Q733202) (← links)
