The following pages link to Stochastic gradient boosting. (Q5958470):
Displaying 48 items.
- The Role of Classification Trees and Expert Knowledge in Building Bayesian Networks: A Case Study in Medicine (Q5419328) (← links)
- Boosted Regression Trees with Errors in Variables (Q5459609) (← links)
- Optimal Individualized Decision Rules Using Instrumental Variable Methods (Q5857139) (← links)
- A Markov-modulated tree-based gradient boosting model for auto-insurance risk premium pricing (Q5858899) (← links)
- Optimization by Gradient Boosting (Q5870986) (← links)
- Binary disease prediction using tail quantiles of the distribution of continuous biomarkers (Q5881426) (← links)
- Cross-Validation for Correlated Data (Q5885099) (← links)
- Robust ranking by ensembling of diverse models and assessment metrics (Q5887960) (← links)
- Stochastic boosting algorithms (Q5917853) (← links)
- Stochastic boosting algorithms (Q5970612) (← links)
- Supervised Machine Learning Techniques: An Overview with Applications to Banking (Q6067148) (← links)
- On data-driven chance constraint learning for mixed-integer optimization problems (Q6072771) (← links)
- A Novel Bayesian Functional Spatial Partitioning Method with Application to Prostate Cancer Lesion Detection Using MRI (Q6079744) (← links)
- A hybrid generalized propensity score approach for observational studies (Q6083007) (← links)
- Explainable subgradient tree boosting for prescriptive analytics in operations management (Q6087515) (← links)
- Universal regular conditional distributions via probabilistic transformers (Q6101232) (← links)
- Responsible model deployment via model-agnostic uncertainty learning (Q6106442) (← links)
- Stochastic Tree Ensembles for Regularized Nonlinear Regression (Q6107230) (← links)
- Tests and classification methods in adaptive designs with applications (Q6107661) (← links)
- Conceptual views on tree ensemble classifiers (Q6116526) (← links)
- Infinitesimal gradient boosting (Q6123287) (← links)
- Gradient boosting for extreme quantile regression (Q6144813) (← links)
- Data-driven decision model based on local two-stage weighted ensemble learning (Q6170946) (← links)
- Predicting Earthquake-Induced Soil Liquefaction Based on Machine Learning Classifiers: A Comparative Multi-Dataset Study (Q6172984) (← links)
- Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and Lasso machine learning techniques (Q6175204) (← links)
- Data-driven analysis of influence between radiologists for diagnosis of breast lesions (Q6179180) (← links)
- Robust estimation of heterogeneous treatment effects: an algorithm-based approach (Q6181848) (← links)
- Attention-based random forest and contamination model (Q6488682) (← links)
- Robust and accurate regression-based techniques for period inference in real-time systems (Q6543318) (← links)
- Live shopping promotions: which categories should a retailer discount to shoppers already in the store? (Q6556803) (← links)
- Boosting simple learners (Q6566593) (← links)
- Variable selection using Bayesian additive regression trees (Q6577814) (← links)
- Using real-world data to predict health outcomes -- the prediction design: application and sample size planning (Q6594187) (← links)
- Use of majority votes in statistical learning (Q6604473) (← links)
- A novel classification algorithm based on the synergy between dynamic clustering with adaptive distances and K-nearest neighbors (Q6605869) (← links)
- The vanishing learning rate asymptotic for linear \(L^2\)-boosting (Q6617090) (← links)
- Efficient and multiply robust risk estimation under general forms of dataset shift (Q6621547) (← links)
- Insurance Premium Prediction via Gradient Tree-Boosted Tweedie Compound Poisson Models (Q6623194) (← links)
- Ensemble forecasting of the Zika space-time spread with topological data analysis (Q6626178) (← links)
- Managing air quality: predicting exceedances of legal limits for PM10 and O\(_3\) concentration using machine learning methods (Q6626422) (← links)
- Identifying potential significant factors impacting zero-inflated proportion data (Q6626874) (← links)
- Parametric and nonparametric propensity score estimation in multilevel observational studies (Q6626946) (← links)
- Estimating individual treatment effects by gradient boosting trees (Q6627236) (← links)
- Double robust efficient estimators of longitudinal treatment effects: comparative performance in simulations and a case study (Q6637206) (← links)
- Multiple-model polynomial regression and efficient algorithms for data analysis (Q6639736) (← links)
- Optimized convergence of stochastic gradient descent by weighted averaging (Q6641001) (← links)
- Extremal Random Forests (Q6651413) (← links)
- On the pricing of capped volatility swaps using machine learning techniques (Q6657702) (← links)
