A new study in PNAS Nexus introduces a predictive framework that uses mosquito surveillance data, weather, and land cover to ...

Decision tree regression is a fundamental technique that can be used by itself, and is also the basis for powerful ensemble techniques (a collection of many decision trees), notably, AdaBoost ...

They then extended their analysis to include tree-based ML models (random forest and gradient-boosted regression trees) and neural networks. LASSO works well when there is a mix of strong and weak ...

The developed model uses regression trees as the base learner, and is generally applicable to varying-coefficient models with a large number of mixed-type varying-coefficient variables, which proves ...

We used the Maxent and boosted regression tree algorithms to assess wildfire—environment relationships for three levels of complexity (in terms of inclusion of variables) at three spatial scales: the ...