Michael Finegold

Artificial Intelligence · 2014

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

Whom Michael Finegold trusts overall

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

  1. Jerome H. Friedman
  2. Yoav Freund
  3. Leo Breiman
  4. Isabelle M Guyon
  5. Chih-Jen Lin

Papers from Michael Finegold's perspective

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

  1. Bagging Predictors
  2. Random Forests
  3. A decision-theoretic generalization of on-line learning and an application to boosting
  4. Special Invited Paper-Additive logistic regression: A statistical view of boosting
  5. Experiments with a New Boosting Algorithm
  6. Greedy function approximation: A gradient boosting machine.
  7. LIBSVM: A library for support vector machines
  8. LIBLINEAR: A Library for Large Linear Classification
  9. Fast Effective Rule Induction
  10. Nearest neighbor pattern classification

Their papers