E. Lacarce

2014

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from E. Lacarce's perspective

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

1. A working guide to boosted regression trees.
2. R: A language and environment for statistical computing.
3. Stochastic gradient boosting
4. Experiments with a New Boosting Algorithm
5. Pattern Recognition and Neural Networks
6. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
7. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
8. Special Invited Paper-Additive logistic regression: A statistical view of boosting
9. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
10. The Elements of Statistical Learning: Data Mining, Inference, and Prediction

Their papers

• Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale (2014) — 137 citations