E. Dietz

Artificial Intelligence · 2012

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

Subfields

Whom E. Dietz trusts overall

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

  1. Thomas G. Dietterich
  2. Gerard B. M. Heuvelink
  3. Trevor J. Hastie
  4. Jane Elith
  5. Eric Bauer
  6. Torsten Hothorn
  7. Clovis Grinand

Who trusts E. Dietz overall

  1. Alexandre M. J.-C. Wadoux
  2. Budiman Minasny

Papers from E. Dietz's perspective

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

  1. An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
  2. An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
  3. Extrapolating regional soil landscapes from an existing soil map: Sampling intensity, validation procedures, and integration of spatial context
  4. Do they? How do they? WHY do they differ? On finding reasons for differing performances of species distribution models
  5. Unbiased Recursive Partitioning: A Conditional Inference Framework
  6. Methods to interpolate soil categorical variables from profile observations: Lessons from Iran
  7. Modelling soil variation: past, present, and future
  8. The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd Edition
  9. The class imbalance problem: A systematic study
  10. Bayesian Maximum Entropy prediction of soil categories using a traditional soil map as soft information

Their papers