Lex Overmars

Statistics and Probability · 2012

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

Subfields

• Statistics and Probability — 8 citations into it
• Statistical Learning Theory — 7 citations into it

Whom Lex Overmars trusts overall

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

1. M. Stone
2. R. Fisher
3. Marvin Minsky

Who trusts Lex Overmars overall

1. Miron Bartosz Kursa

Papers from Lex Overmars's perspective

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

1. Screening large-scale association study data: exploiting interactions using random forests
2. Greedy function approximation: A gradient boosting machine.
3. Learning by Transduction
4. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS
5. Cross‐Validatory Choice and Assessment of Statistical Predictions
6. Classification and Regression by randomForest
7. The behaviour of random forest permutation-based variable importance measures under predictor correlation (BMC Bioinformatics)
8. The perceptron: a probabilistic model for information storage and organization in the brain.
9. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties
10. Gene selection and classification of microarray data using random forest

Their papers

• Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle? (2012) — 426 citations