Pages that link to "Item:Q449780"

The following pages link to Boosting algorithms: regularization, prediction and model fitting (Q449780):

Displaying 50 items.

• Boosting for statistical modelling-A non-technical introduction (Q5142213) (← links)
• Predicting matches in international football tournaments with random forests (Q5142218) (← links)
• (Q5148998) (← links)
• Boosting multiplicative model combination (Q5152168) (← links)
• Automatic model selection for high-dimensional survival analysis (Q5220703) (← links)
• Regularized proportional odds models (Q5220716) (← links)
• Nonparametric multiple expectile regression via ER-Boost (Q5220800) (← links)
• Random gradient boosting for predicting conditional quantiles (Q5220936) (← links)
• EEBoost: A General Method for Prediction and Variable Selection Based on Estimating Equations (Q5256421) (← links)
• General Sparse Boosting: Improving Feature Selection of L₂Boosting by Correlation-Based Penalty Family (Q5265816) (← links)
• Boosting algorithms: with an application to bootstrapping multivariate time series (Q5310577) (← links)
• An overview of techniques for linking high‐dimensional molecular data to time‐to‐event endpoints by risk prediction models (Q5391149) (← links)
• Stochastic Approximation Boosting for Incomplete Data Problems (Q5850964) (← links)
• Optimization by Gradient Boosting (Q5870986) (← links)
• Modelling Flow in Gas Transmission Networks Using Shape-Constrained Expectile Regression (Q5871000) (← links)
• Stochastic boosting algorithms (Q5917853) (← links)
• Stochastic boosting algorithms (Q5970612) (← links)
• On the selection of predictors by using greedy algorithms and information theoretic criteria (Q6075184) (← links)
• Boosting Distributional Copula Regression (Q6079714) (← links)
• Explainable subgradient tree boosting for prescriptive analytics in operations management (Q6087515) (← links)
• Gradient boosting with extreme-value theory for wildfire prediction (Q6100555) (← links)
• A boosting first-hitting-time model for survival analysis in high-dimensional settings (Q6103255) (← links)
• Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models (Q6107409) (← links)
• On the relevance of prognostic information for clinical trials: A theoretical quantification (Q6149266) (← links)
• Estimating global and country-specific excess mortality during the COVID-19 pandemic (Q6161878) (← links)
• Estimation and inference of treatment effects with \(L_2\)-boosting in high-dimensional settings (Q6163259) (← links)
• De-noising boosting methods for variable selection and estimation subject to error-prone variables (Q6171767) (← links)
• Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and Lasso machine learning techniques (Q6175204) (← links)
• Quantitative robustness of instance ranking problems (Q6175812) (← links)
• Unbiased Boosting Estimation for Censored Survival Data (Q6185138) (← links)
• Privacy-preserving and lossless distributed estimation of high-dimensional generalized additive mixed models (Q6190652) (← links)
• Calibrating machine learning approaches for probability estimation: a comprehensive comparison (Q6560548) (← links)
• Sample size and predictive performance of machine learning methods with survival data: a simulation study (Q6560569) (← links)
• Buckley-James boosting model based on extreme learning machine and random survival forests (Q6563673) (← links)
• Forecasting retained earnings of privately held companies with PCA and \(L^1\) regression (Q6570577) (← links)
• Pseudo-value regression trees (Q6571296) (← links)
• Prediction-based variable selection for component-wise gradient boosting (Q6590297) (← links)
• Conditional transformation models for survivor function estimation (Q6593498) (← links)
• Advances in estimation and inference for historical functional linear models (Q6604325) (← links)
• Use of majority votes in statistical learning (Q6604473) (← links)
• Boosting multivariate structured additive distributional regression models (Q6617538) (← links)
• Modelling additive extremile regression by iteratively penalized least asymmetric weighted squares and gradient descent boosting (Q6618193) (← links)
• Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models (Q6623194) (← links)
• The integrated calibration index (ICI) and related metrics for quantifying the calibration of logistic regression models (Q6625202) (← links)
• Data-adaptive additive modeling (Q6625660) (← links)
• Pinball boosting of regression quantiles (Q6626688) (← links)
• Variable selection for censored data using modified correlation adjusted correlation (MCAR) scores (Q6628007) (← links)
• Robust nonparametric integrative analysis to decipher heterogeneity and commonality across subgroups using sparse boosting (Q6628048) (← links)
• Gradient boosting for linear mixed models (Q6636028) (← links)
• Robust statistical boosting with quantile-based adaptive loss functions (Q6636211) (← links)