Hendrik Boogaard

Ecology, Evolution, Behavior and Systematics · 2014–2020

A researcher in the Science corpus: 6 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hendrik Boogaard trusts overall

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

  1. Jerome H. Friedman
  2. David Ruppert
  3. Teuvo Kohonen
  4. Christoph von der Malsburg
  5. Andrew Crane-Droesch
  6. Thomas M. Cover
  7. Trevor J. Hastie
  8. Bernhard E. Boser

Papers from Hendrik Boogaard's perspective

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

  1. Random Forests
  2. Greedy function approximation: A gradient boosting machine.
  3. Deep Learning
  4. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  5. Scikit-learn: Machine Learning in Python
  6. Nearest neighbor pattern classification
  7. Closing yield gaps through nutrient and water management (Nature)
  8. A training algorithm for optimal margin classifiers
  9. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  10. Semantic Compositionality through Recursive Matrix-Vector Spaces

Their papers