| 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) | 2002 | |
| dc.date.accessioned | 17-Jun-2015 15:08:35 (UTC+8) | - |
| dc.date.available | 17-Jun-2015 15:08:35 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jun-2015 15:08:35 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75890 | - |
| dc.description.abstract (摘要) | We investigate state-space abstraction methods for computing approximate proba- bilities with Bayesian networks. These methods approximate Bayesian networks by aggregating the states of variables. We implement an iterative approximation procedure based on this idea, and the procedure demonstrates the desirable anytime property in experiments. Further theoretical analysis reveals special properties of the approxima- tions, and we exploit these properties to design heuristics for improving performance profiles of the iterative procedure. 2002 Elsevier Science Inc. All rights reserved. | |
| dc.format.extent | 349717 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.relation (關聯) | International Journal of Approximate Reasoning - IJAR , vol. 30, no. 1, pp. 1-39 | |
| dc.title (題名) | Evaluation of Bayesian networks with flexible state-space abstraction methods | |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1016/S0888-613X(01)00067-6 | |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1016/S0888-613X(01)00067-6 | |
