K. Kaufeld

Nature and Landscape Conservation · 2017

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom K. Kaufeld trusts overall

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

  1. Radford M. Neal
  2. David M. Blei
  3. Antoine Guisan
  4. S. MacEachern
  5. T. Griffiths
  6. Tue Tjur
  7. Hemant Ishwaran
  8. Wilfried Thuiller
  9. D. MacKenzie
  10. Omiros Papaspiliopoulos

Papers from K. Kaufeld's perspective

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

  1. Bayesian Density Estimation and Inference Using Mixtures
  2. Latent Dirichlet Allocation
  3. Estimating normal means with a conjugate style dirichlet process prior
  4. Markov Chain Sampling Methods for Dirichlet Process Mixture Models
  5. Gibbs Sampling Methods for Stick-Breaking Priors
  6. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers