Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/75889
DC Field | Value | Language |
---|---|---|
dc.contributor | 資科系 | |
dc.creator | Liu, Chao-lin;Wellman, Michael P. | |
dc.creator | 劉昭麟 | zh_TW |
dc.date | 1998 | |
dc.date.accessioned | 2015-06-17T07:08:30Z | - |
dc.date.available | 2015-06-17T07:08:30Z | - |
dc.date.issued | 2015-06-17T07:08:30Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/75889 | - |
dc.description.abstract | 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 | Uncertainty in Artificial Intelligence - UAI , pp. 346-353 | |
dc.title | Using Qualitative Relationships for Bounding Probability Distributions | |
dc.type | article | en |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
Appears in Collections: | 期刊論文 |
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