The following pages link to Bagging predictors (Q65108):
Displaying 50 items.
- Robustify Financial Time Series Forecasting with Bagging (Q5080461) (← links)
- Truncation level selection in nonparametric regression using Padé approximation (Q5082566) (← links)
- (Q5084186) (← links)
- Improving Reliability Estimation for Individual Numeric Predictions: A Machine Learning Approach (Q5084664) (← links)
- Ensemble of fast learning stochastic gradient boosting (Q5086335) (← links)
- A model-averaging approach for smoothing spline regression (Q5087515) (← links)
- Heuristic methods for stock selection and allocation in an index tracking problem (Q5106286) (← links)
- High-dimensional Canonical Forest (Q5106824) (← links)
- Comparison of various machine learning algorithms for estimating generalized propensity score (Q5107349) (← links)
- A reflected feature space for CART (Q5117664) (← links)
- Weighted bagging: a modification of AdaBoost from the perspective of importance sampling (Q5124773) (← links)
- Bias-corrected random forests in regression (Q5126933) (← links)
- An empirical bias–variance analysis of DECORATE ensemble method at different training sample sizes (Q5126995) (← links)
- RandGA: injecting randomness into parallel genetic algorithm for variable selection (Q5130182) (← links)
- Climate, agriculture, and hunger: statistical prediction of undernourishment using nonlinear regression and data-mining techniques (Q5130351) (← links)
- Comparative analysis of classification methods in determining non-active student characteristics in Indonesia Open University (Q5137972) (← links)
- AN EFFECTIVE BIAS-CORRECTED BAGGING METHOD FOR THE VALUATION OF LARGE VARIABLE ANNUITY PORTFOLIOS (Q5140083) (← links)
- Random forests for time-dependent processes (Q5140344) (← links)
- Optimization of Tree Ensembles (Q5144785) (← links)
- (Q5149226) (← links)
- (Q5149243) (← links)
- Boosting Insights in Insurance Tariff Plans with Tree-Based Machine Learning Methods (Q5165011) (← links)
- When Errors Become the Rule (Q5176182) (← links)
- Discrete-time survival trees and forests with time-varying covariates (Q5193314) (← links)
- (Q5214263) (← links)
- Aggregating classifiers via Rademacher–Walsh polynomials (Q5220783) (← links)
- Censoring Unbiased Regression Trees and Ensembles (Q5229919) (← links)
- Confidence intervals centred on bootstrap smoothed estimators (Q5234441) (← links)
- Variable selection in Bayesian generalized linear‐mixed models: An illustration using candidate gene case‐control association studies (Q5247907) (← links)
- Cost-Complexity Pruning of Random Forests (Q5270552) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- Partial Least Squares for Heterogeneous Data (Q5278351) (← links)
- A Survey of Evolution in Predictive Models and Impacting Factors in Customer Churn (Q5363852) (← links)
- Encoding Through Patterns: Regression Tree–Based Neuronal Population Models (Q5378240) (← links)
- Rough Sets and Current Trends in Computing (Q5394725) (← links)
- Seeing the Forest Through the Trees (Q5452097) (← links)
- Rule Validation of a Meta-classifier Through a Galois (Concept) Lattice and Complementary Means (Q5452419) (← links)
- Structural, Syntactic, and Statistical Pattern Recognition (Q5466259) (← links)
- (Q5488699) (← links)
- Variable Selection for Marginal Longitudinal Generalized Linear Models (Q5714639) (← links)
- Classifier Chains: A Review and Perspectives (Q5856477) (← links)
- Appropriate machine learning techniques for credit scoring and bankruptcy prediction in banking and finance: A comparative study (Q5858901) (← links)
- Variable Selection Methods in High-dimensional Regression—A Simulation Study (Q5860257) (← links)
- Reduced forms and weak instrumentation (Q5864650) (← links)
- Bootstrap aggregated classification for sparse functional data (Q5865431) (← links)
- How Much Telematics Information Do Insurers Need for Claim Classification? (Q5877351) (← links)
- Domain estimation under informative linkage (Q5880003) (← links)
- COMPLETE SUBSET AVERAGING FOR QUANTILE REGRESSIONS (Q5880806) (← links)
- The Impact of Churn on Client Value in Health Insurance, Evaluation Using a Random Forest Under Various Censoring Mechanisms (Q5881989) (← links)
- Robust ranking by ensembling of diverse models and assessment metrics (Q5887960) (← links)
