É. Latrille

2001–2013

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom É. Latrille trusts

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

  1. David John Cameron MacKay (in Probabilistic & Bayesian Methods)

Papers from É. Latrille's perspective

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

  1. Multilayer feedforward networks are universal approximators
  2. Bayesian Interpolation
  3. Neural Networks and Their Applications
  4. In Advances in Neural Information Processing Systems
  5. A Bayesian Committee Machine (Neural Computation)
  6. The Nature of Statistical Learning Theory
  7. Pattern Recognition and Neural Networks
  8. Learning and relearning in Boltzmann machines
  9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  10. Probabilistic Inference Using Markov Chain Monte Carlo Methods

Their papers