Abstract
An overview is given on recent research in Bayesian problem-solving techniques. Covered are the topics of inference in Bayesian networks, decision-theoretic planning, and qualitative decision theory. Emphasis is on Bayesian problem-solving techniques, knowledge-based model construction and structured representations, and the learning of graphic probability models.
| Original language | English |
|---|---|
| Pages (from-to) | 11-19 |
| Number of pages | 9 |
| Journal | AI Magazine |
| Volume | 20 |
| Issue number | 2 |
| Publication status | Published - Jun 1999 |
| Externally published | Yes |
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