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» Representing Uncertainty in RuleML
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NCM
2010
13 years 6 months ago
Trusted business system model using context sensitiveness
—The objective of the paper is to propose a predictable context sensitive trust model for a business system. A business system can be imagined with four basic entities between wh...
Chandrasekaran Subramaniam, Sankarbharathy Ponnusa...
ACL
2010
13 years 6 months ago
Towards Relational POMDPs for Adaptive Dialogue Management
Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly...
Pierre Lison
INTERSPEECH
2010
13 years 2 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
DASFAA
2011
IEEE
206views Database» more  DASFAA 2011»
12 years 11 months ago
A Hybrid Algorithm for Finding Top-k Twig Answers in Probabilistic XML
Abstract. Uncertainty is inherently ubiquitous in data of real applications, and those uncertain data can be naturally represented by the XML. Matching twig pattern against XML dat...
Bo Ning, Chengfei Liu
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 2 months ago
Temporal Probabilistic Logic Programs: State and Revision
There are numerous applications where we have to deal with temporal uncertainty associated with events. The Temporal Probabilistic (TP) Logic Programs should provide support for v...
Zoran Majkic