| dc.contributor | 資科系 | |
| dc.creator (作者) | Liu, Chao-lin;Wellman, Michael P. | |
| dc.creator (作者) | 劉昭麟 | zh_TW |
| dc.date (日期) | 1998 | |
| dc.date.accessioned | 17-Jun-2015 15:08:30 (UTC+8) | - |
| dc.date.available | 17-Jun-2015 15:08:30 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jun-2015 15:08:30 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75889 | - |
| dc.description.abstract (摘要) | We exploit qualitative probabilistic relationships among variables for computing bounds of con- ditional probability distributions of interest in Bayesian networks. Using the signs of qualita- tive relationships, we can implement abstraction operations that are guaranteed to bound the dis- tributions of interest in the desired direction. By evaluating incrementally improved approximate networks, our algorithm obtains monotonically tightening bounds that converge to exact distri- butions. For supermodular utility functions, the tightening bounds monotonically reduce the set of admissible decision alternatives as well. | |
| dc.format.extent | 192 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Uncertainty in Artificial Intelligence - UAI , pp. 346-353 | |
| dc.title (題名) | Using Qualitative Relationships for Bounding Probability Distributions | |
| dc.type (資料類型) | article | en |
