DocumentCode :
499045
Title :
Inference in QPNS with multiple observations
Author :
Li, Xiang-Kun ; Liao, Shi-Zhong
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Volume :
1
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
221
Lastpage :
226
Abstract :
The adapted sign-propagation algorithm presented recently by Kouwen for inference with a qualitative probabilistic network has been designed to handle a single observation at a time. Renooij has proposed an adapted algorithm for propagating multiple observations by entering them sequentially and combining the results of the successive propagations, but it still generates unnecessary weakness in multiply connected network. We demonstrate that both approaches are complementary, and propose a new integrated qualitative probabilistic inference algorithm that will provide for stronger results upon inference with multiple observations.
Keywords :
common-sense reasoning; probability; QPNS inference; adapted sign-propagation algorithm; integrated qualitative probabilistic inference algorithm; qualitative probabilistic network; Cybernetics; Machine learning; Qualitative probabilistic network; multiple observations; qualitative probabilistic inference; sign-propagation algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
Type :
conf
DOI :
10.1109/ICMLC.2009.5212521
Filename :
5212521
Link To Document :
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