Peter van Beek

Artificial Intelligence · 2006–2015

A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Peter van Beek 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
  10. Dan Geiger

Who trusts Peter van Beek overall

  1. Luc De Raedt
  2. Tias Guns
  3. Marco Gavanelli
  4. Sebastijan Dumancic
  5. Rohit Batra
  6. Martin Gebser
  7. David R. Morrison
  8. Kari Rantanen

Papers from Peter van Beek's perspective

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

  1. Learning Bayesian networks: The combination of knowledge and statistical data
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Learning Equivalence Classes of Bayesian Network Structures
  5. Estimating the Dimension of a Model
  6. Large-Sample Learning of Bayesian Networks is NP-Hard
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. ImageNet: A large-scale hierarchical image database

Their papers