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MICAI
2010
Springer
14 years 10 months ago
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels
This paper addresses the supervised learning in which the class membership of training data are subject to uncertainty. This problem is tackled in the framework of the Dempster-Sha...
Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour
104
Voted
SEMWEB
2010
Springer
14 years 9 months ago
Combining Approximation and Relaxation in Semantic Web Path Queries
We develop query relaxation techniques for regular path queries and combine them with query approximation in order to support flexible querying of RDF data when the user lacks know...
Alexandra Poulovassilis, Peter T. Wood
ICCV
2005
IEEE
15 years 5 months ago
Behaviour Understanding in Video: A Combined Method
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
Neil Robertson, Ian D. Reid
ECSQARU
2009
Springer
14 years 9 months ago
Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?
Abstract. When merging belief functions, Dempster rule of combination is justified only when sources can be considered as independent. When dependencies are ill-known, it is usual ...
Sébastien Destercke, Didier Dubois
103
Voted
JODS
2006
131views Data Mining» more  JODS 2006»
14 years 11 months ago
Inheritance in Rule-Based Frame Systems: Semantics and Inference
Knowledge representation languages that combine rules with object-oriented features akin to frame systems have recently attracted a lot of research interest, and F-logic is widely ...
Guizhen Yang, Michael Kifer