Mert Edali

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 Mert Edali 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

Papers from Mert Edali's perspective

Ordered by how strongly the researchers Mert Edali 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. Linear Programming Boosting via Column Generation
  6. Optimal classification trees
  7. PREDICTIVE LEARNING VIA RULE ENSEMBLES
  8. Boosting Algorithms as Gradient Descent
  9. Optimal decision trees for categorical data via integer programming
  10. Column generation based heuristic for learning classification trees

Their papers