Table 3.
Michael I. Jordan's entity prior (φ e) and word distributions (φ e,z) of his research topics.
| Michael I. Jordan | Machine learning | Neural networks | Bayesian network |
|---|---|---|---|
| Learning | Probabilistic | Cognitive | Causal |
| Neural | Causal | Learn | Distributions |
| Processing | Systems | Neural | Models |
| Awards | Methods | Networks | Markovian |
| Advances | Reasoning | Proceedings | dynamic |
| Machine | Algorithm | Artificial | Identification |
| AAAI | Graphs | Conference | Characterization |
| Bayesian | Model | International | Recursive |
| ACM | Kernel | System | Joint |
| Networks | Computational | NIPS | Variables |
| Statistical | Award | Graph | Data |
| Computational | Uncertainty | Control | Effects |
| Associates | Representation | Kernel | Algorithm |
| Conference | Processing | Science | Based |
| Intelligence | Networks | Probability | Clustering |