Jos Boekhorst

Statistics and Probability · 2002–2012

A researcher in the Science corpus: 2 papers; 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 Jos Boekhorst trusts

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

1. R. Fisher (in Statistical Learning Theory)
2. M. Stone (in Statistics and Probability)
3. Marvin Minsky (in Philosophy)

Who trusts Jos Boekhorst

1. Miron Bartosz Kursa (in Artificial Intelligence)

Papers from Jos Boekhorst's perspective

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

Their papers

• Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle? (2012) — 426 citations
• Flavour formation from amino acids by lactic acid bacteria: predictions from genome sequence analysis (2002) — 219 citations