L. V. D. Gaag

Probabilistic & Bayesian Methods · 2000–2014

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

Whom L. V. D. Gaag trusts overall

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

  1. David E. Heckerman
  2. J. Breese
  3. Wray L. Buntine
  4. A. P. Dawid

Who trusts L. V. D. Gaag overall

  1. Christopher Nowzohour
  2. Rémi Le Priol
  3. Alexander Bauer
  4. Jens Behley
  5. Marc Dymetman
  6. Theodoros Rekatsinas
  7. Pranjul Yadav
  8. Junjie Zhang
  9. Mohan Sarovar

Papers from L. V. D. Gaag's perspective

Ordered by how strongly the researchers L. V. D. Gaag trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Probabilistic reasoning in intelligent systems: Networks of plausible inference
  2. Local computations with probabilities on graphical structures and their application to expert systems
  3. Causal independence for probability assessment and inference using Bayesian networks
  4. Conditional Independence in Statistical Theory
  5. Probabilistic Networks and Expert Systems (Technometrics)
  6. Learning with Graphical Models
  7. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  8. Toward Normative Expert Systems: Part II Probability-Based Representations for Efficient Knowledge Acquisition and Inference
  9. Sequential updating of conditional probabilities on directed graphical structures
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers