B. Costa

2009

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

Whom B. Costa trusts overall

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

1. Jerome H. Friedman

Papers from B. Costa's perspective

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

1. Greedy function approximation: A gradient boosting machine.
2. Calculating landscape surface area from digital elevation models
3. Measuring surface complexity in ecological studies
4. Linking fish and prawns to their environment: a hierarchical landscape approach
5. Stochastic gradient boosting
6. The Elements of Statistical Learning
7. Bagging Predictors
8. Pattern Recognition and Neural Networks
9. Experiments with a New Boosting Algorithm
10. The Nature of Statistical Learning Theory

Their papers

• Using Lidar Bathymetry and Boosted Regression Trees to Predict the Diversity and Abundance of Fish and Corals (2009) — 206 citations