S. Landaud

2001

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

Whom S. Landaud trusts overall

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

  1. David John Cameron MacKay

Papers from S. Landaud's perspective

Ordered by how strongly the researchers S. Landaud 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. Learning and relearning in Boltzmann machines
  6. A Bayesian Committee Machine (Neural Computation)
  7. The Nature of Statistical Learning Theory
  8. Pattern Recognition and Neural Networks
  9. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  10. The Eigenvalues of Mega-dimensional Matrices

Their papers