Schalk Kok

Global and Planetary Change · 2002–2017

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Schalk Kok trusts overall

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

  1. Vladimir Naumovich Vapnik
  2. David Ruppert
  3. R. Caruana
  4. Stephan Hoyer

Who trusts Schalk Kok overall

  1. Mohammad Reza Bonyadi
  2. Dierk Raabe

Papers from Schalk Kok's perspective

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

  1. An empirical comparison of supervised learning algorithms
  2. xarray: N-D labeled arrays and datasets in Python
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. NCEP–DOE AMIP-II Reanalysis (R-2)
  5. An overview of statistical learning theory
  6. ImageNet classification with deep convolutional neural networks
  7. Distilling the Knowledge in a Neural Network (arXiv.org)
  8. Et al
  9. UCI Repository of machine learning databases
  10. Efficient Estimation of Word Representations in Vector Space

Their papers