Kiattikun Chobtham
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
- Statistics and Probability — 14 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Kiattikun Chobtham trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Kiattikun Chobtham's perspective
Ordered by how strongly the researchers Kiattikun Chobtham trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning Bayesian networks: The combination of knowledge and statistical data
- Learning Equivalence Classes of Bayesian Network Structures
- Probabilistic reasoning in intelligent systems: Networks of plausible inference
- Causal inference and causal explanation with background knowledge
- Causation, prediction, and search
- Learning Gaussian Networks
- The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks
- Learning high-dimensional directed acyclic graphs with latent and selection variables
- Bayesian Graphical Models for Discrete Data
- Ancestral graph Markov models
Their papers
- A survey of Bayesian Network structure learning (2021) — 363 citations