| タイトル | A Guide to the Literature on Learning Graphical Models |
| 著者（英） | Buntine, Wray L.; Friedland, Peter |
| 著者所属（英） | Research Inst. for Advanced Computer Science |
| 発行日 | 1994-01-01 |
| 言語 | eng |
| 内容記述 | This literature review discusses different methods under the general rubric of learning Bayesian networks from data, and more generally, learning probabilistic graphical models. Because many problems in artificial intelligence, statistics and neural networks can be represented as a probabilistic graphical model, this area provides a unifying perspective on learning. This paper organizes the research in this area along methodological lines of increasing complexity. |
| NASA分類 | Statistics and Probability |
| 権利 | No Copyright |
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