E. Rodríguez‐Camino

Global and Planetary Change · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom E. Rodríguez‐Camino trusts

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

  1. Vladimir Naumovich Vapnik (in Statistical Learning Theory)
  2. R. Huth (in Global and Planetary Change)
  3. Vladimir Naumovich Vapni (in Artificial Intelligence)
  4. J. Platt (in Statistical Learning Theory)

Papers from E. Rodríguez‐Camino's perspective

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

  1. Ridge Regression: Biased Estimation for Nonorthogonal Problems
  2. Some methods for classification and analysis of multivariate observations
  3. The Nature of Statistical Learning Theory
  4. Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
  5. A logical calculus of the ideas immanent in nervous activity
  6. Statistical Downscaling of Daily Temperature in Central Europe
  7. The Nature of Statistical Learning
  8. Least squares quantization in PCM
  9. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment
  10. Solutions of ill-posed problems

Their papers