K. Schmidt

Environmental Engineering · with Behrens · 2010–2018

A researcher in the Science corpus: 7 papers; trusts 8 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom K. Schmidt trusts overall

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

  1. Budiman Minasny
  2. Tin Kam Ho
  3. Niko Speybroeck
  4. George Forman
  5. Ron Kohavi
  6. George H. John
  7. Trevor J. Hastie
  8. Leo Breiman
  9. Alex B. McBratney
  10. Avrim Blum

Who trusts K. Schmidt overall

  1. Yones Khaledian
  2. Tomislav Hengl

Papers from K. Schmidt's perspective

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

  1. Bagging Predictors
  2. Wrappers for Feature Subset Selection
  3. The Random Subspace Method for Constructing Decision Forests
  4. Irrelevant Features and the Subset Selection Problem
  5. Classification and regression trees
  6. An Extensive Empirical Study of Feature Selection Metrics for Text Classification
  7. Theoretical Foundations of the Potential Function Method in Pattern Recognition Learning
  8. Prediction of soil properties by digital terrain modelling (Environmental Modelling & Software)
  9. Selection of Relevant Features and Examples in Machine Learning
  10. Changes in variance and correlation of soil properties with scale and location: analysis using an adapted maximal overlap discrete wavelet transform

Their papers