Teppo Niinimaki

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Teppo Niinimaki trusts overall

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

1. Mikko Koivisto
2. Wray L. Buntine
3. Radford M. Neal
4. Arthur U. Asuncion
5. Nir Friedman
6. David Madigan
7. Daniel Eaton
8. B. Ellis
9. Daphne Koller
10. Jeremy York

Who trusts Teppo Niinimaki overall

1. Xun Zheng
2. Jussi Viinikka
3. Tristan Deleu
4. Yashas Annadani
5. Bryon Aragam
6. Antti Hyttinen
7. Jonas Rothfuss
8. Ant'onio G'ois

Papers from Teppo Niinimaki's perspective

Ordered by how strongly the researchers Teppo Niinimaki 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. Theory Refinement on Bayesian Networks
4. Annealed importance sampling
5. Being Bayesian About Network Structure. A Bayesian Approach to Structure Discovery in Bayesian Networks
6. Advances in Exact Bayesian Structure Discovery in Bayesian Networks
7. A Simple Approach for Finding the Globally Optimal Bayesian Network Structure (Conference on Uncertainty in Artificial Intelligence)
8. Exact Bayesian Structure Discovery in Bayesian Networks (Journal of machine learning research)
9. Gradient-based learning applied to document recognition
10. An Introduction to MCMC for Machine Learning

Their papers

• Structure Discovery in Bayesian Networks by Sampling Partial Orders (2016) — 55 citations