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» Object-Oriented Bayesian Networks
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WEBI
2001
Springer
15 years 5 months ago
On Axiomatizing Probabilistic Conditional Independencies in Bayesian Networks
Several researchers have suggested that Bayesian networks (BNs) should be used to manage the inherent uncertainty in information retrieval. However, it has been argued that manuall...
Cory J. Butz
KDD
1995
ACM
182views Data Mining» more  KDD 1995»
15 years 4 months ago
Accelerated Quantification of Bayesian Networks with Incomplete Data
Probabilistic expert systemsbased on Bayesian networks(BNs)require initial specification both a qualitative graphical structure and quantitative assessmentof conditional probabili...
Bo Thiesson
79
Voted
FLAIRS
2001
15 years 2 months ago
Maximal Prime Subgraph Decomposition of Bayesian Networks
A maximal prime subgraph decomposition junction tree (MPD-JT) is a useful computational structure that facilitates lazy propagation in Bayesian networks (BNs). A graphical method ...
Kristian G. Olesen, Anders L. Madsen
VIP
2003
15 years 2 months ago
Relevance Feedback for Content-Based Image Retrieval Using Bayesian Network
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
Jing Xin, Jesse S. Jin
CORR
2007
Springer
193views Education» more  CORR 2007»
15 years 19 days ago
Multi-Sensor Fusion Method using Dynamic Bayesian Network for Precise Vehicle Localization and Road Matching
This paper presents a multi-sensor fusion strategy for a novel road-matching method designed to support real-time navigational features within advanced driving-assistance systems....
Cherif Smaili, Maan E. El Najjar, François ...