S. Ilker Birbil

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Ilker Birbil trusts overall

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

  1. Jerome H. Friedman
  2. Nicolai Meinshausen
  3. Yoav Freund
  4. Dimitris J. Bertsimas
  5. Marc E. Pfetsch
  6. Trevor J. Hastie
  7. Robert E. Schapire
  8. Ayhan Demiriz
  9. Leo Breiman
  10. Bogdan E. Popescu

Papers from S. Ilker Birbil's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Random Forests
  3. Boosting the margin: A new explanation for the effectiveness of voting methods
  4. A decision-theoretic generalization of on-line learning and an application to boosting
  5. Bagging Predictors
  6. Regression Shrinkage and Selection via the Lasso
  7. The Nature of Statistical Learning Theory
  8. Linear Programming Boosting via Column Generation
  9. ImageNet classification with deep convolutional neural networks
  10. Atomic Decomposition by Basis Pursuit

Their papers