Mark Voortman

Artificial Intelligence · 2010–2013

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #21,815 of 35,345 by trust here, #30,347 by citations
• Probabilistic & Bayesian Methods — 5 citations into it

Whom Mark Voortman trusts overall

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

1. Denver Dash
2. Dan Geiger
3. Peter M. Bentler
4. Herbert A. Simon
5. David E. Heckerman
6. Marek J Druzdzel
7. Tom L. Burr
8. Joseph Y. Halpern

Who trusts Mark Voortman overall

1. Sergey M. Plis
2. David Danks
3. Stephan Bongers
4. Joris M. Mooij

Papers from Mark Voortman's perspective

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

1. Learning Gaussian Networks
2. Causation, Prediction, and Search
3. Causality and Model Abstraction
4. Caveats for Causal Reasoning with Equilibrium Models
5. Probabilistic reasoning in intelligent systems - networks of plausible inference
6. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
7. Probabilistic reasoning in intelligent systems: Networks of plausible inference
8. Causation, prediction, and search
9. Causal Ordering and Identifiability
10. Causal diagrams for empirical research

Their papers

• Learning Why Things Change: The Difference-Based Causality Learner (2010) — 42 citations
• Sequences of Mechanisms for Causal Reasoning in Artificial Intelligence (2013) — 12 citations