Statistics meets machine learning: the example of statistical boosting
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure | Scientific Reports
How to Train Generalized Additive Models (GAMs) in Model Studio - SAS Support Communities
Boosted Regression Tree Algorithm for the Reconstruction of GRACE-Based Terrestrial Water Storage Anomalies in the Yangtze River Basin - Frontiers
PDF) Additive Logistic Regression: A Statistical View of Boosting
Logistic Regression Additive Model: Application to Tanzania Demographic and Health Survey Data
Treatment effects beyond the mean using distributional regression: Methods and guidance | PLOS ONE
Additive models, boosting, and inference for generalized divergences | Proceedings of the twelfth annual conference on Computational learning theory
PDF) Additive Logistic Regression: A Statistical View of Boosting
PDF) Additive Logistic Regression: A Statistical View of Boosting
Additive Logistic Regression: a Statistical View of Boosting - ppt download
A cascade eye diseases screening system with interpretability and expandability in ultra-wide field fundus images: A multicentre diagnostic accuracy study - eClinicalMedicine
Additive Logistic Regression: a Statistical View of Boosting - ppt download
MediBoost: a Patient Stratification Tool for Interpretable Decision Making in the Era of Precision Medicine | Scientific Reports
Merkblatt 10,382 Econometrics of Big Data, Spring Semester 2021
Water | Free Full-Text | Assessing the Suitability of Boosting Machine-Learning Algorithms for Classifying Arsenic-Contaminated Waters: A Novel Model-Explainable Approach Using SHapley Additive exPlanations
PDF) Additive Logistic Regression: A Statistical View of Boosting
Machine learning-based prediction of in-hospital mortality using admission laboratory data: A retrospective, single-site study using electronic health record data | PLOS ONE
Lecture 7&8 computer vision face_recognition
Bagged random causal networks for interventional queries on observational biomedical datasets - ScienceDirect
Additive Logistic Regression: a Statistical View of Boosting - ppt download
MAchine learning
Robust extreme gradient boosting regression model for compressive strength prediction of blast furnace slag and fly ash concrete - ScienceDirect