Tomi Silander
Conference on Uncertainty in Artificial Intelligence · 2006–2007
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Whom Tomi Silander trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Tomi Silander overall
- Peter Buhlmann
- Alain Hauser
- Qiang Ji
- James Cussens
- Daniel Eaton
- Kevin P. Murphy
- Sara A. van de Geer
- Mark W. Schmidt
- DE Saravan
- Po-Ling Loh
Papers from Tomi Silander's perspective
Ordered by how strongly the researchers Tomi Silander trusts endorse each paper. Same corpus, a different order for every researcher.
- Exact Bayesian Structure Discovery in Bayesian Networks (Journal of machine learning research)
- A Tutorial on Learning with Bayesian Networks
- Large-Sample Learning of Bayesian Networks is NP-Hard
- Update of the Drug Resistance Mutations in HIV-1.
- Learning Bayesian networks: The combination of knowledge and statistical data
- Optimal Structure Identification With Greedy Search
- Bayesian Graphical Models for Discrete Data
- Theory Refinement on Bayesian Networks
- Learning Bayesian Networks: Search Methods and Experimental Results
- Approximating discrete probability distributions with dependence trees
Their papers
- A Simple Approach for Finding the Globally Optimal Bayesian Network Structure (2006) — 413 citations
- Bayesian network analysis of resistance pathways against HIV-1 protease inhibitors. (2007) — 41 citations