Alexandre Momparler

Statistics and Probability · 2019

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

Subfields

• Statistics and Probability — 6 citations into it

Whom Alexandre Momparler trusts

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

1. Jerome H. Friedman (in Statistics and Probability)

Papers from Alexandre Momparler's perspective

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

1. Bagging Predictors
2. Regression Shrinkage and Selection via the Lasso
3. The Elements of Statistical Learning
4. The Nature of Statistical Learning Theory
5. Stochastic gradient boosting
6. Experiments with a New Boosting Algorithm
7. Greedy function approximation: A gradient boosting machine.
8. Neural Networks for Pattern Recognition
9. Regularization Paths for Generalized Linear Models via Coordinate Descent
10. Pattern Recognition and Neural Networks

Their papers

• Predicting failure in the U.S. banking sector: An extreme gradient boosting approach (2019) — 262 citations