Nathalie Villa-Vialaneix

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Nathalie Villa-Vialaneix trusts

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

  1. Michael I. Jordan (in Artificial Intelligence)
  2. Yoav Freund (in Optimization & Training)
  3. Robert E. Schapire (in Optimization & Training)
  4. Min‐ge Xie (in Statistics and Probability)
  5. Guohua Zhao (in Model Architectures)
  6. Adele Cutler (in Model Architectures)
  7. Xueying Chen (in Statistics and Probability)
  8. Gérard Biau (in Statistical Learning Theory)

Who trusts Nathalie Villa-Vialaneix

  1. Jonathan Brophy (in Artificial Intelligence)
  2. Daniel Lowd (in Artificial Intelligence)

Papers from Nathalie Villa-Vialaneix's perspective

Ordered by how strongly the researchers Nathalie Villa-Vialaneix trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Random Forests
  2. A decision-theoretic generalization of on-line learning and an application to boosting
  3. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  4. Pattern Recognition and Machine Learning
  5. Consistency of Random Forests
  6. Consistency of Random Forests and Other Averaging Classifiers
  7. Extremely randomized trees
  8. PERT – Perfect Random Tree Ensembles
  9. ON THE CHOICE OF m IN THE m OUT OF n BOOTSTRAP AND CONFIDENCE BOUNDS FOR EXTREMA
  10. Approximate clustering via core-sets (Symposium on the Theory of Computing)

Their papers