Jie Cheng

Probabilistic & Bayesian Methods · with Greiner · 2001–2002

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 11 citations into it

Whom Jie Cheng trusts overall

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

1. Richard E. Neapolitan
2. Tom L. Burr
3. David E. Heckerman
4. Peter Spirtes
5. Christopher Meek
6. Ron Kohavi
7. Huaiyu Zhu
8. Max Henrion
9. Graham J. Wills
10. Nir Friedman

Who trusts Jie Cheng overall

1. S. Kotsiantis
2. Ioannis Tsamardinos
3. Constantin F. Aliferis
4. Luis M. de Campos
5. Finn Verner Jensen
6. Efstathios Kirkos
7. Denver Dash
8. Alexander R. Statnikov
9. Patrick E. Meyer
10. Laura E. Brown

Papers from Jie Cheng's perspective

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

1. Learning Bayesian networks: The combination of knowledge and statistical data
2. Probabilistic reasoning in intelligent systems: Networks of plausible inference
3. Probabilistic reasoning in intelligent systems: Networks of plausible inference
4. Equivalence and Synthesis of Causal Models
5. Learning Bayesian Networks with Local Structure
6. Strong completeness and faithfulness in Bayesian networks
7. Learning Equivalence Classes of Bayesian Network Structures
8. Causation, prediction, and search
9. Causation, Prediction, and Search
10. A Tutorial on Learning with Bayesian Networks

Their papers

• Learning Bayesian networks from data: An information-theory based approach (2002) — 833 citations
• Learning Bayesian Belief Network Classifiers: Algorithms and System (2001) — 332 citations