David Mease

Statistical Learning Theory · 2015

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 9 citations into it; #778 of 1,038 by trust here, #874 by citations
• Artificial Intelligence — 7 citations into it; #20,942 of 35,345 by trust here, #26,682 by citations
• Statistics and Probability — 7 citations into it

Whom David Mease trusts overall

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

1. Leo Breiman
2. Jerome H. Friedman
3. Terry M. Therneau

Who trusts David Mease overall

1. Mikhail Belkin

Papers from David Mease's perspective

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

1. Bagging Predictors
2. Boosting the margin: A new explanation for the effectiveness of voting methods
3. Arcing classifier (with discussion and a rejoinder by the author)
4. Greedy function approximation: A gradient boosting machine.
5. Special Invited Paper-Additive logistic regression: A statistical view of boosting
6. The Elements of Statistical Learning
7. Prediction Games and Arcing Algorithms
8. Nearest neighbor pattern classification
9. Boosting With the L2 Loss
10. Generalized Boosted Models: A guide to the gbm package

Their papers

• Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers (2015) — 311 citations