Daniel Eaton

Artificial Intelligence · 2007

A researcher in the Science corpus: 3 papers; trusts 33 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Probabilistic & Bayesian Methods — 25 citations into it; #265 of 1,525 by trust here, #485 by citations
• Causal Inference & Discovery — 15 citations into it; #66 of 364 by trust here, #103 by citations
• Molecular Biology — 11 citations into it
• Statistics and Probability — 9 citations into it
• Computational Theory and Mathematics — 6 citations into it

Whom Daniel Eaton trusts overall

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

1. Mikko Koivisto
2. Tom L. Burr
3. David E. Heckerman
4. Dan Geiger
5. Peter M. Bentler
6. David Madigan
7. Richard E. Neapolitan
8. Nir Friedman
9. Tomi Silander
10. Kismat Sood

Who trusts Daniel Eaton overall

1. Nan Rosemary Ke
2. Alain Hauser
3. Sofia Triantafillou
4. Niklas Pfister
5. Rónán Daly
6. Joris M. Mooij
7. Peter Buhlmann
8. Stefan Bauer
9. Jan Peters
10. Kevin P. Murphy

Papers from Daniel Eaton's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Learning Bayesian networks: The combination of knowledge and statistical data
3. Bayesian Graphical Models for Discrete Data
4. Causation, Prediction, and Search
5. Probabilistic reasoning in intelligent systems: Networks of plausible inference
6. Learning Gaussian Networks
7. ImageNet classification with deep convolutional neural networks
8. Gradient-based learning applied to document recognition
9. Approximating discrete probability distributions with dependence trees
10. Estimating the Dimension of a Model

Their papers

• Belief net structure learning from uncertain interventions (2007)
• Bayesian structure learning using dynamic programming and MCMC (2007) — 140 citations
• Exact Bayesian structure learning from uncertain interventions (2007) — 233 citations