摘要: Markov Random Fields (MRFs), a.k.a. Graphical Models, serve as popular models for networks in the social and biological sciences, as well as communications and signal processing. A central problem is one of structure learning or m... 展开
| 作者 | Shakkottai, S. Sanghavi, S. | ||
|---|---|---|---|
| 原报告号 | ADA578984 | 总页数 | 35 |
| 主办者 | Non Paid ADAS | ||
| 报告分类号 | [46H - Radiofrequency Waves45C - Common Carrier & Satellite] | ||
| 报告类别/文献类型 | AD / NTIS科技报告 | ||
| 关键词 | Humans Multimode Networks Algorithms Communication and radio systems Distribution Entropy Graphs Learning Markov processes Models Nodes Parametric analysis Reduction Signal processing Graphical models Greedy learning Mrf(Markov random fields) | ||
