Marc Teyssier

Conference on Uncertainty in Artificial Intelligence · 2005

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Whom Marc Teyssier trusts overall

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

  1. Wray L. Buntine
  2. David E. Heckerman
  3. David Maxwell Chickering
  4. Audrey P. Gasch
  5. Judea Pearl
  6. Dan Geiger
  7. Nir Friedman

Who trusts Marc Teyssier overall

  1. Peter van Beek
  2. Bryon Aragam
  3. Peter Buhlmann
  4. Jack Kuipers
  5. Chris Cundy
  6. Tommi S. Jaakkola
  7. Vikash K. Mansinghka
  8. Neville Kenneth Kitson
  9. Jan Peters
  10. Hella-Franziska Hoffmann

Papers from Marc Teyssier's perspective

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

  1. Probabilistic reasoning in intelligent systems - networks of plausible inference
  2. Learning Bayesian networks: The combination of knowledge and statistical data
  3. Learning Equivalence Classes of Bayesian Network Structures
  4. Theory Refinement on Bayesian Networks
  5. Estimating the Dimension of a Model
  6. The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks
  7. Genomic expression programs in the response of yeast cells to environmental changes. (Molecular Biology of the Cell)
  8. Large-Sample Learning of Bayesian Networks is NP-Hard
  9. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
  10. Advances in kernel methods: support vector learning

Their papers