Clement Lork

2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Clement Lork trusts overall

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

  1. Jerome H. Friedman
  2. Yuan Lan
  3. Bogdan M. Wilamowski
  4. Y. C. Soh

Papers from Clement Lork's perspective

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

  1. Greedy function approximation: A gradient boosting machine.
  2. Ensemble of online sequential extreme learning machine (Neurocomputing)
  3. Levenberg—Marquardt Training
  4. The Strength of Weak Learnability
  5. UCI Repository of machine learning databases
  6. Learning representations by back-propagating errors
  7. The Nature of Statistical Learning Theory
  8. Nearest neighbor pattern classification
  9. Experiments with a New Boosting Algorithm
  10. Bagging Predictors

Their papers