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ESANN
2007
15 years 5 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
119
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MKWI
2008
135views Business» more  MKWI 2008»
15 years 5 months ago
Ontology-based process mediation in the European project BRITE
: Service-oriented architectures (SOA) are recent architectures enabling interoperable machine-to-machine process interaction by generating a comprehensive view of independent soft...
Ansgar Mondorf, Timo Herborn
222
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SIMVIS
2007
15 years 5 months ago
Development of a Mixed Reality Device for Interactive On-Site Geo-visualization
This paper reports on the development of a novel mixed reality I/O device tailored to the requirements of interaction with geo-spatial data in the immediate environment of the use...
Volker Paelke, Claus Brenner
151
Voted
AAAI
2006
15 years 5 months ago
Large Scale Knowledge Base Systems: An Empirical Evaluation Perspective
In this paper, we discuss how our work on evaluating Semantic Web knowledge base systems (KBSs) contributes to address some broader AI problems. First, we show how our approach pr...
Yuanbo Guo, Abir Qasem, Jeff Heflin
123
Voted
ECIS
2004
15 years 5 months ago
Measuring enterprise systems success: the importance of a multiple stakeholder perspective
: Organisations invest enormous amount of resources in acquiring Enterprise Systems (ES), presumably expecting positive impacts to the organisation and its functions. Despite the o...
Darshana Sedera, Guy G. Gable, Taizan Chan