Margaret G. Schmidt

2014–2016

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Margaret G. Schmidt trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Andy Liaw

Papers from Margaret G. Schmidt's perspective

Ordered by how strongly the researchers Margaret G. Schmidt trusts endorse each paper. Same corpus, a different order for every researcher.

1. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
2. Classification and Regression by randomForest
3. Classification and regression trees
4. A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches
5. A comprehensive comparison of random forests and support vector machines for microarray-based cancer classification (BMC Bioinformatics)
6. Spatial disaggregation of complex soil map units: A decision-tree based approach in Bavarian forest soils
7. Bagging Predictors
8. Random Forests
9. Modern Applied Statistics With S
10. Analyzing Bagging

Their papers

• An overview and comparison of machine-learning techniques for classification purposes in digital soil mapping (2016) — 442 citations
• Predictive soil parent material mapping at a regional-scale: a Random Forest approach. (2014) — 266 citations