Mikko Koivisto

Artificial Intelligence · 2004–2020

A researcher in the Science corpus: 7 papers; trusts 29 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it; #5,291 of 35,345 by trust here, #18,186 by citations
• Probabilistic & Bayesian Methods — 32 citations into it; #1,380 of 1,525 by trust here, #1,244 by citations
• Statistics and Probability — 14 citations into it
• Causal Inference & Discovery — 6 citations into it; #82 of 364 by trust here, #277 by citations
• Molecular Biology — 6 citations into it
• Information Systems — 5 citations into it

Whom Mikko Koivisto trusts overall

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

1. Wray L. Buntine
2. Nir Friedman
3. David E. Heckerman
4. Lawrence R. Rabiner
5. Dirk Husmeier
6. Daphne Koller
7. David Madigan
8. Dan Geiger
9. Robert Castelo
10. David Maxwell Chickering

Who trusts Mikko Koivisto overall

1. Daniel Eaton
2. Kevin P. Murphy
3. Min-Ling Zhang
4. Rónán Daly
5. Teppo Niinimaki
6. Jack Kuipers
7. Lars Lorch
8. James Cussens
9. Antti Hyttinen
10. Qiang Shen

Papers from Mikko Koivisto's perspective

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

1. Bayesian Graphical Models for Discrete Data
2. Learning Bayesian networks: The combination of knowledge and statistical data
3. Approximating discrete probability distributions with dependence trees
4. Probabilistic reasoning in intelligent systems: Networks of plausible inference
5. Theory Refinement on Bayesian Networks
6. Causality : Models , Reasoning , and Inference
7. Estimating the Dimension of a Model
8. Optimal Structure Identification With Greedy Search
9. UCI Repository of machine learning databases
10. Gradient-based learning applied to document recognition

Their papers

• Advances in Exact Bayesian Structure Discovery in Bayesian Networks (2006) — 96 citations
• Towards Scalable Bayesian Learning of Causal DAGs (2020) — 46 citations
• Structure Discovery in Bayesian Networks by Sampling Partial Orders (2016) — 55 citations
• Fourier meets möbius: fast subset convolution (2006) — 354 citations
• On Structure Priors for Learning Bayesian Networks (2019) — 29 citations
• Set Partitioning via Inclusion-Exclusion (2009) — 423 citations
• Exact Bayesian Structure Discovery in Bayesian Networks (2004) — 516 citations