Hella-Franziska Hoffmann

Artificial Intelligence · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hella-Franziska Hoffmann trusts overall

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

  1. David E. Heckerman
  2. David Maxwell Chickering
  3. Mikko Koivisto
  4. Marc Teyssier
  5. Tomi Silander
  6. Daphne Koller
  7. Tommi S. Jaakkola
  8. Kismat Sood
  9. Petri Myllymäki

Papers from Hella-Franziska Hoffmann's perspective

Ordered by how strongly the researchers Hella-Franziska Hoffmann trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Bayesian networks: The combination of knowledge and statistical data
  2. Learning Equivalence Classes of Bayesian Network Structures
  3. Large-Sample Learning of Bayesian Networks is NP-Hard
  4. Estimating the Dimension of a Model
  5. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  6. Exact Bayesian Structure Discovery in Bayesian Networks (Journal of machine learning research)
  7. Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks (Conference on Uncertainty in Artificial Intelligence)
  8. A Simple Approach for Finding the Globally Optimal Bayesian Network Structure (Conference on Uncertainty in Artificial Intelligence)
  9. Learning Bayesian Network Structure using LP Relaxations
  10. Gradient-based learning applied to document recognition

Their papers