Ralf Eggeling

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ralf Eggeling trusts overall

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

  1. Jorma Rissanen
  2. Wray L. Buntine
  3. Marco Scutari
  4. James Cussens
  5. Tomi Silander
  6. Ioannis Tsamardinos
  7. Petri Myllymäki
  8. Laura E. Brown
  9. Daphne Koller
  10. Nir Friedman

Papers from Ralf Eggeling's perspective

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

  1. Exact Bayesian Structure Discovery in Bayesian Networks (Journal of machine learning research)
  2. Learning Bayesian networks: The combination of knowledge and statistical data
  3. Modeling By Shortest Data Description*
  4. Estimating the Dimension of a Model
  5. The max-min hill-climbing Bayesian network structure learning algorithm
  6. A Simple Approach for Finding the Globally Optimal Bayesian Network Structure (Conference on Uncertainty in Artificial Intelligence)
  7. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  8. Theory Refinement on Bayesian Networks
  9. The Minimum Description Length Principle in Coding and Modeling
  10. Bayesian network learning with cutting planes

Their papers