Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 12th International C Jérôme Euzenat,John Domingue Conference proceedings 2

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马赛克

Clustering Approach Using Belief Function TheoryIn this paper we develop a clustering method in an uncertain context based on the K-modes method and the belief function theory. This so-called belief K-modes method (BKM) provides a new clustering technique handling uncertainty in the attribute values of objects in both the clusters’ construction task and the classification one.

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Illustrating Feedback and Controlman factors and technical issues. Then I will describe techniques from the field of Human Language Technologies and the Semantic Web that can be used for addressing those requirements. I will then present examples of real world applications developed in the aerospace domain. Finally, I will discuss some future trends.

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航海太平洋

Delivering 360-Degree Feedback,art is composed of a multiagent system that is made of factual agents. Each agent carries a semantic feature and aims to represent a partial part of a situation. The agents develop thanks to their interactions by comparing their semantic features using proximity measures and according to specific ontologies.

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https://doi.org/10.1007/978-3-642-03446-6I is expressive enough to instantiate other solutions to the connection problem. Our proposition has been used in the traveler information domain to develop an Agent Information Server dynamically parameterized by its users.

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